84 Commits

Author SHA1 Message Date
wangkuan
1de0c27c36 修复TSG-22710 DoS Event 基于静态敏感阈值输出的告警事件与判定条件不符 2024-09-30 10:40:01 +08:00
wangkuan
9c21e01211 解决部分source_country为空的问题 2024-09-26 10:20:42 +08:00
wangkuan
548a08d90a Attack Type为Custom Attack Type时,Conditions的值有误,解决pom依赖冲突 2024-08-16 10:11:41 +08:00
wangkuan
2d4f255a8d TSG-20680 对Source Country List中Country去重,为空的不记录 2024-04-19 18:20:58 +08:00
wangkuan
dff537f411 修改时长统计逻辑 2024-04-18 18:18:38 +08:00
wangkuan
49f1200787 TSG-20112,TSG-20099适配功能端日志调整,重构代码 2024-04-03 17:29:22 +08:00
wangchengcheng
fae16e5804 fix:Profile ID recognition error(TSG-19499) 2024-02-28 16:58:15 +08:00
wangchengcheng
046b7fea80 fix:fixed the problem of reporting NoClass in session mode 2024-01-23 18:12:25 +08:00
wangchengcheng
62bffa9731 fix:resolve dependency conflicts(GAL-437) 2024-01-15 10:19:38 +08:00
wangchengcheng
77ec061844 fix:refactor the project and optimize the configuration loading method 2024-01-12 18:42:21 +08:00
wangchengcheng
a17666abff fix:Modify the method of obtaining DoS Detection task knowledge base(TSG-17971) 2023-12-25 10:51:02 +08:00
wangchengcheng
322bb1e4cb fix:Adapt to CM interface(TSG-18052) 2023-12-21 18:25:54 +08:00
wangchengcheng
bdfe5f73db fix:recv_time fill value error 2023-12-18 13:49:53 +08:00
wangchengcheng
91cb1ce5d2 OLAP DoS Detection重组日志结构适配。(TSG-17836) 2023-12-11 09:50:28 +08:00
wangchengcheng
52336accbd 1.适配IP定位库v4/v6合并后的加载逻辑(GAL-436)。
2.适配bifang23.11接口(TSG-17675)。
3.移除广播流。
4.修复静态阈值判断部分的BUG。
2023-11-13 16:45:04 +08:00
unknown
c8a2a6b627 TSG-16920 修复自定义静态阈值满足任意阈值条件均产生告警 2023-09-07 18:20:02 +08:00
unknown
24d70f690e TSG-15712 修正DoS基线阈值告警信息中告警严重程度与告警值不匹配问题 2023-06-27 17:31:56 +08:00
unknown
77e982b22f TSG-15286 静态阈值新增业务测试用例 2023-06-09 10:36:54 +08:00
unknown
b3a23686a0 GAL-352 zdjizhi 1.1.1更换为zdjizhi 1.1.3 2023-06-08 17:01:26 +08:00
unknown
b9a694ddb9 GAL-349 优化DoS检测程序知识库更新流程 2023-06-08 16:57:19 +08:00
unknown
6fb37324ff GAL-352 获取SketchLog及bifang静态阈值适配Fastjson2 2023-06-07 14:29:53 +08:00
unknown
315b638470 GAL-352 DoS检测适配Fastjson2序列化库 2023-06-06 17:53:06 +08:00
unknown
bd48417eb8 删除注释代码 2023-05-26 15:51:57 +08:00
unknown
72acc976e3 TSG-15219 修复静态阈值的condition处理逻辑,新增静态阈值单元测试类 2023-05-26 15:44:37 +08:00
unknown
6be3ea7f1e TSG-15219 优化DoS静态阈值下的检测逻辑 2023-05-24 14:36:29 +08:00
unknown
04ee45f77d TSG-15167 新增知识库文件校验功能 2023-05-23 10:38:15 +08:00
unknown
d8b0a7637b 新增命中静态阈值后填充Profile ID 2023-04-03 17:35:36 +08:00
unknown
b56a2ec31e GAL-306 修复DoS检测不能读取HDFS中IP定位库问题,支持yarn per-job运行模式 2023-03-27 17:15:27 +08:00
unknown
11747d9964 GAL-296 解决使用Yarn模式运行时的依赖冲突问题 2023-03-07 18:58:25 +08:00
wanglihui
ce15a27a1b TSG-13094 修复DoS Event日志出现MVsys id 2022-12-21 17:11:14 +08:00
wanglihui
01bbe562c9 Merge branch 'tsg-22.11' of git.mesalab.cn:bigdata/tsg/flink-dos-detection into tsg-22.11 2022-12-19 10:18:44 +08:00
wanglihui
f07651cf14 修改vsys id字段名为common_t_vsys_id 2022-12-19 10:18:17 +08:00
unknown
7c201a8a3f 新增Nacos Namespace配置,删除更新至HDFS时Flush操作 2022-12-16 16:52:33 +08:00
wanglihui
78435d54ea Merge branch 'knowledge' of https://git.mesalab.cn/bigdata/tsg/flink-dos-detection into tsg-22.11 2022-12-06 19:11:30 +08:00
wanglihui
76c9247bb9 Merge branch 'knowledge' of https://git.mesalab.cn/bigdata/tsg/flink-dos-detection into tsg-22.11 2022-12-06 19:10:28 +08:00
wanglihui
488b7c6644 修改部分日志输出 2022-12-06 17:13:09 +08:00
unknown
0662d265dd GAL-224 取消SSL检测,新增HDFS高可用设置 2022-11-28 16:42:56 +08:00
unknown
87fe11dc93 优化单机模式落地方式 2022-11-28 15:38:36 +08:00
unknown
9a2a5b3957 GAL-224 DoS检测支持知识库动态加载 2022-11-23 15:30:24 +08:00
fy
c58acdcfc9 Flink连接知识库实现方案初始准备 2022-11-14 14:34:00 +08:00
wanglihui
b409150532 修复提交yarn集群依赖冲突bug 2022-10-17 18:15:11 +08:00
wanglihui
7e6d5fcfc5 修复无法vsys id 2022-10-17 11:10:35 +08:00
wanglihui
859cd379e5 DoS 检测支持vsys id 2022-09-23 18:37:33 +08:00
wanglihui
47ddef9bca DoS 检测事件日志默认VSYS ID 为 1 2022-08-19 10:17:52 +08:00
wanglihui
0a6f36393c DoS Detection Bifang Access Token 可支持动态配置 2022-07-19 17:20:09 +08:00
unknown
84a1e6879a 修复动态获取nacos配置 2022-06-28 11:15:49 +08:00
unknown
ab8f6aba81 修复动态获取nacos配置 2022-06-28 11:14:54 +08:00
unknown
94e8fb807a 集成nacos,修复依赖冲突,启动报错 2022-06-22 15:58:49 +08:00
wanglihui
cead1d4d99 Merge branch 'tsg-22.06' of git.mesalab.cn:bigdata/tsg/flink-dos-detection 2022-06-20 18:15:24 +08:00
徐鹏飞
2d98c3b6e6 修改获取静态阈值逻辑,根据默认指定vsysID获取 2022-06-13 18:00:57 +08:00
徐鹏飞
3dc29a07be 新增根据vsysId从bifang获取静态阈值 2022-05-31 18:00:36 +08:00
wanglihui
1fcdb79739 DoS事件日志对Conditions基于速率检测属性值修正 2022-05-17 13:54:43 +08:00
wanglihui
3d974217d9 集成nacos,将部分配置放到nacos中管理。 2022-04-08 10:16:29 +08:00
wanglihui
db17064f73 更新工具库到1.0.8适配新版MMDB定位库 2022-02-11 16:06:24 +08:00
wanglihui
065e5abb09 增加jasypt配置加密方式 2021-12-20 13:50:18 +08:00
wanglihui
75bbdd2962 更新DoS检测程序,新增读取baseline TTL配置。
修复DoS检测-Conditions阈值描述语言逻辑问题。
2021-12-08 13:51:09 +08:00
wanglihui
c46a395d9b 修改静态阈值,上下限判定等配置。 2021-11-26 09:46:53 +08:00
wanglihui
cc3f0cf620 解决获取配置为空时空指针异常bug。 2021-11-05 19:01:12 +08:00
wanglihui
0617b1e614 修改获取基线值策略,当基线type=3且基线值小于静态敏感阈值时,将其替换。 2021-10-29 18:43:05 +08:00
wanglihui
0125b031dd 代码格式化,实体类重写equals、hashcode方法。 2021-10-22 18:38:29 +08:00
wanglihui
177e7461cc 优化构建baseline方式 2021-10-21 18:27:48 +08:00
wanglihui
be916531fb 修改构建threshold RangeMap逻辑,基于attack type为key,避免IP冲突问题。 2021-10-20 18:23:12 +08:00
wanglihui
c692112445 增加基于packets与bits作为static条件判断依据。
修复static配置IP冲突问题。
2021-10-19 18:39:13 +08:00
wanglihui
b03ab9642d 修复静态条件与基线条件冲突bug 2021-09-28 16:11:52 +08:00
wanglihui
c44250bf73 新增读取DoS Detection Profiles IP冲突检测机制
修复DoS event日志end_time大于当前时间bug
2021-09-26 18:41:36 +08:00
wanglihui
77bc6a844e 修复读取配置IP冲突问题 2021-09-23 18:36:27 +08:00
wanglihui
e930fa23ed 修改判定逻辑,增加基线敏感阈值作为判定条件。 2021-09-16 18:47:00 +08:00
wanglihui
8cd4dea19e 获取静态阈值列表使用bifang默认token
修复获取baseline下标方法
2021-09-15 10:08:17 +08:00
wanglihui
62f3c65d66 基于DoS Sketch一元组进行实时检测 2021-09-14 18:46:23 +08:00
wanglihui
8cfb442c44 增加一元组作为基线生成数据源 2021-09-13 14:14:58 +08:00
wanglihui
4f8807dfa1 修改计算速率方式,使用session总数除以时间窗口 2021-09-13 09:46:02 +08:00
wanglihui
81f6499458 新增敏感阈值,过滤告警信息
修改计算平均值方式,先聚合再平均
2021-09-09 10:46:50 +08:00
wanglihui
b4237bb4a9 新增kafka sasl认证机制 2021-09-06 16:19:33 +08:00
wanglihui
c5943298bd 修复因double精度问题导致日志判定结果等级错误bug 2021-08-26 18:42:28 +08:00
wanglihui
b4f919647a 新增根据静态阈值判定dos攻击逻辑
新增定时器,定时获取静态阈值与baseline
2021-08-24 16:35:31 +08:00
wanglihui
55af33b508 新增解析静态阈值功能 2021-08-20 18:34:40 +08:00
wanglihui
28e7275674 新增rangeMap存储对应IP段配置信息 2021-08-20 11:52:20 +08:00
wanglihui
f744677021 新增读取bifang静态阈值配置接口
修改galaxy工具类库版本
2021-08-18 19:15:49 +08:00
wanglihui
c957f3ec1c 增加基线值为0时处理逻辑,将0替换为默认值。 2021-08-17 18:56:53 +08:00
wanglihui
9bda526d48 修复判定超出基线百分比逻辑bug 2021-08-17 11:09:45 +08:00
wanglihui
e89e1b08c9 修改处理逻辑,去掉处理机IP与数据中心作为key的判定条件。 2021-08-16 18:24:13 +08:00
wanglihui
e0de04886b 添加配置文件注释、删除过期配置文件 2021-08-11 18:38:53 +08:00
wanglihui
30a24683e3 metrics统计增加根据server IP hashcode分区数。 2021-08-09 18:28:52 +08:00
wanglihui
5190654a8f 修改处理逻辑为内存中缓存baseline数据 2021-08-05 18:42:34 +08:00
52 changed files with 2256 additions and 1533 deletions

260
pom.xml
View File

@@ -6,19 +6,26 @@
<groupId>com.zdjizhi</groupId>
<artifactId>flink-dos-detection</artifactId>
<version>1.0-SNAPSHOT</version>
<version>24-04-22</version>
<name>flink-dos-detection</name>
<url>http://www.example.com</url>
<properties>
<galaxy.tools.version>2.0.2</galaxy.tools.version>
<flink.version>1.13.1</flink.version>
<hive.version>2.1.1</hive.version>
<hadoop.version>2.7.1</hadoop.version>
<scala.binary.version>2.12</scala.binary.version>
<jsonpath.version>2.4.0</jsonpath.version>
</properties>
<repositories>
<repository>
<id>nexus</id>
<name>Team Nexus Repository</name>
<url>http://192.168.40.125:8099/content/groups/public</url>
<url>http://192.168.40.153:8099/content/groups/public</url>
</repository>
<repository>
@@ -49,14 +56,15 @@
<artifactId>maven-compiler-plugin</artifactId>
<version>3.8.0</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
<source>11</source>
<target>11</target>
<!-- The semantics of this option are reversed, see MCOMPILER-209. -->
<useIncrementalCompilation>false</useIncrementalCompilation>
<compilerArgs>
<!-- Prevents recompilation due to missing package-info.class, see MCOMPILER-205 -->
<arg>-Xpkginfo:always</arg>
</compilerArgs>
</configuration>
</plugin>
@@ -72,7 +80,13 @@
</goals>
<configuration>
<finalName>flink-dos-detection</finalName>
<finalName>flink-dos-detection-24-04-22</finalName>
<relocations>
<relocation>
<pattern>org.apache.http</pattern>
<shadedPattern>shade.org.apache.http</shadedPattern>
</relocation>
</relocations>
<filters>
<filter>
<!-- Do not copy the signatures in the META-INF folder.
@@ -96,96 +110,85 @@
</execution>
</executions>
</plugin>
</plugins>
<resources>
<resource>
<directory>properties</directory>
<includes>
<include>**/*.properties</include>
<include>**/*.xml</include>
</includes>
<filtering>false</filtering>
</resource>
<resource>
<directory>src\main</directory>
<includes>
<include>log4j.properties</include>
</includes>
<filtering>false</filtering>
</resource>
</resources>
</build>
<dependencies>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>1.7.21</version>
<groupId>org.jasypt</groupId>
<artifactId>jasypt</artifactId>
<version>1.9.3</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<version>1.7.21</version>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
<version>${jsonpath.version}</version>
</dependency>
<dependency>
<groupId>org.xerial.snappy</groupId>
<artifactId>snappy-java</artifactId>
<version>1.1.8.3</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-sql-connector-kafka_2.11</artifactId>
<artifactId>flink-connector-kafka_2.12</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
<exclusions>
<exclusion>
<artifactId>slf4j-log4j12</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>snappy-java</artifactId>
<groupId>org.xerial.snappy</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<!-- <dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_2.11</artifactId>
<artifactId>flink-runtime-web_2.12</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
</dependency>
</dependency>-->
<!--&lt;!&ndash; https://mvnrepository.com/artifact/org.apache.flink/flink-table &ndash;&gt;-->
<!--<dependency>-->
<!--<groupId>org.apache.flink</groupId>-->
<!--<artifactId>flink-table</artifactId>-->
<!--<version>${flink.version}</version>-->
<!--&lt;!&ndash;<scope>provided</scope>&ndash;&gt;-->
<!--</dependency>-->
<!-- https://mvnrepository.com/artifact/org.apache.flink/flink-json -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-json</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.kafka/kafka-clients -->
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>1.0.0</version>
</dependency>
<!--Flink modules-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-java</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner-blink_2.11</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner_2.11</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
</dependency>
<!-- CLI dependencies -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.11</artifactId>
<artifactId>flink-clients_2.12</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.7.1</version>
<scope>provided</scope>
<exclusions>
<exclusion>
<artifactId>zookeeper</artifactId>
@@ -195,6 +198,44 @@
<artifactId>jdk.tools</artifactId>
<groupId>jdk.tools</groupId>
</exclusion>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-auth</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>2.2.3</version>
<!-- <scope>provided</scope>-->
<exclusions>
<exclusion>
<artifactId>slf4j-log4j12</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>log4j-over-slf4j</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-common</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
</exclusions>
</dependency>
@@ -215,12 +256,6 @@
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hbase-2.2_2.11</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
@@ -228,25 +263,72 @@
</dependency>
<dependency>
<groupId>com.zdjizhi</groupId>
<groupId>com.github.seancfoley</groupId>
<artifactId>ipaddress</artifactId>
<version>5.3.3</version>
</dependency>
<dependency>
<groupId>com.alibaba.fastjson2</groupId>
<artifactId>fastjson2</artifactId>
<version>2.0.32</version>
</dependency>
<dependency>
<groupId>commons-codec</groupId>
<artifactId>commons-codec</artifactId>
<version>1.11</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.fasterxml.jackson.core/jackson-databind -->
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>2.9.10</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.google.guava/guava -->
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>11.0.2</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.2</version>
</dependency>
<dependency>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
<version>2.4.0</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>com.geedgenetworks</groupId>
<artifactId>galaxy</artifactId>
<version>1.0.4</version>
<exclusions>
<exclusion>
<artifactId>slf4j-log4j12</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>log4j-over-slf4j</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
</exclusion>
</exclusions>
<version>${galaxy.tools.version}</version>
</dependency>
</dependencies>
</project>
</project>

View File

@@ -1,49 +0,0 @@
package com.zdjizhi.common;
import com.zdjizhi.utils.CommonConfigurations;
/**
* Created by wk on 2021/1/6.
*/
public class CommonConfig {
public static final int STREAM_EXECUTION_ENVIRONMENT_PARALLELISM = CommonConfigurations.getIntProperty("stream.execution.environment.parallelism");
public static final String STREAM_EXECUTION_JOB_NAME = CommonConfigurations.getStringProperty("stream.execution.job.name");
public static final int KAFKA_INPUT_PARALLELISM = CommonConfigurations.getIntProperty("kafka.input.parallelism");
public static final String KAFKA_INPUT_TOPIC_NAME = CommonConfigurations.getStringProperty("kafka.input.topic.name");
public static final String KAFKA_INPUT_BOOTSTRAP_SERVERS = CommonConfigurations.getStringProperty("kafka.input.bootstrap.servers");
public static final String KAFKA_SCAN_STARTUP_MODE = CommonConfigurations.getStringProperty("kafka.input.scan.startup.mode");
public static final String KAFKA_GROUP_ID = CommonConfigurations.getStringProperty("kafka.input.group.id");
public static final int KAFKA_OUTPUT_METRIC_PARALLELISM = CommonConfigurations.getIntProperty("kafka.output.metric.parallelism");
public static final String KAFKA_OUTPUT_METRIC_TOPIC_NAME = CommonConfigurations.getStringProperty("kafka.output.metric.topic.name");
public static final int KAFKA_OUTPUT_EVENT_PARALLELISM = CommonConfigurations.getIntProperty("kafka.output.event.parallelism");
public static final String KAFKA_OUTPUT_EVENT_TOPIC_NAME = CommonConfigurations.getStringProperty("kafka.output.event.topic.name");
public static final String KAFKA_OUTPUT_BOOTSTRAP_SERVERS = CommonConfigurations.getStringProperty("kafka.output.bootstrap.servers");
public static final int HBASE_INPUT_PARALLELISM = CommonConfigurations.getIntProperty("hbase.input.parallelism");
public static final String HBASE_ZOOKEEPER_QUORUM = CommonConfigurations.getStringProperty("hbase.zookeeper.quorum");
public static final int HBASE_CLIENT_OPERATION_TIMEOUT = CommonConfigurations.getIntProperty("hbase.client.operation.timeout");
public static final int HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD = CommonConfigurations.getIntProperty("hbase.client.scanner.timeout.period");
public static final String HBASE_BASELINE_TABLE_NAME = CommonConfigurations.getStringProperty("hbase.baseline.table.name");
public static final int HBASE_BASELINE_TOTAL_NUM = CommonConfigurations.getIntProperty("hbase.baseline.total.num");
public static final int FLINK_FIRST_AGG_PARALLELISM = CommonConfigurations.getIntProperty("flink.first.agg.parallelism");
public static final int FLINK_SECOND_AGG_PARALLELISM = CommonConfigurations.getIntProperty("flink.second.agg.parallelism");
public static final int FLINK_WATERMARK_MAX_ORDERNESS = CommonConfigurations.getIntProperty("flink.watermark.max.orderness");
public static final int FLINK_WINDOW_MAX_TIME = CommonConfigurations.getIntProperty("flink.window.max.time");
public static final int SOURCE_IP_LIST_LIMIT = CommonConfigurations.getIntProperty("source.ip.list.limit");
public static final int DATA_CENTER_ID_NUM = CommonConfigurations.getIntProperty("data.center.id.num");
public static final String IP_MMDB_PATH = CommonConfigurations.getStringProperty("ip.mmdb.path");
public static final double BASELINE_SESSIONS_MINOR_THRESHOLD = CommonConfigurations.getDoubleProperty("baseline.sessions.minor.threshold");
public static final double BASELINE_SESSIONS_WARNING_THRESHOLD = CommonConfigurations.getDoubleProperty("baseline.sessions.warning.threshold");
public static final double BASELINE_SESSIONS_MAJOR_THRESHOLD = CommonConfigurations.getDoubleProperty("baseline.sessions.major.threshold");
public static final double BASELINE_SESSIONS_SEVERE_THRESHOLD = CommonConfigurations.getDoubleProperty("baseline.sessions.severe.threshold");
public static final double BASELINE_SESSIONS_CRITICAL_THRESHOLD = CommonConfigurations.getDoubleProperty("baseline.sessions.critical.threshold");
}

View File

@@ -0,0 +1,63 @@
package com.zdjizhi.common;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Objects;
public class DosBaselineThreshold implements Serializable {
private ArrayList<Integer> session_rate;
private Integer session_rate_baseline_type;
private Integer session_rate_default_value;
public ArrayList<Integer> getSession_rate() {
return session_rate;
}
public void setSession_rate(ArrayList<Integer> session_rate) {
this.session_rate = session_rate;
}
public Integer getSession_rate_baseline_type() {
return session_rate_baseline_type;
}
public void setSession_rate_baseline_type(Integer session_rate_baseline_type) {
this.session_rate_baseline_type = session_rate_baseline_type;
}
public Integer getSession_rate_default_value() {
return session_rate_default_value;
}
public void setSession_rate_default_value(Integer session_rate_default_value) {
this.session_rate_default_value = session_rate_default_value;
}
@Override
public String toString() {
return "DosBaselineThreshold{" +
"session_rate=" + session_rate +
", session_rate_baseline_type=" + session_rate_baseline_type +
", session_rate_default_value=" + session_rate_default_value +
'}';
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (!(o instanceof DosBaselineThreshold)) {
return false;
}
DosBaselineThreshold that = (DosBaselineThreshold) o;
return Objects.equals(getSession_rate(), that.getSession_rate()) &&
Objects.equals(getSession_rate_baseline_type(), that.getSession_rate_baseline_type()) &&
Objects.equals(getSession_rate_default_value(), that.getSession_rate_default_value());
}
@Override
public int hashCode() {
return Objects.hash(getSession_rate(), getSession_rate_baseline_type(), getSession_rate_default_value());
}
}

View File

@@ -0,0 +1,117 @@
package com.zdjizhi.common;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Arrays;
/**
* @author wlh
*/
public class DosDetectionThreshold implements Serializable {
private long id;
private String attack_type;
private ArrayList<String> server_ip_list;
private String server_ip_addr;
private long packets_per_sec;
private long bits_per_sec;
private long sessions_per_sec;
private int is_enabled;
private int vsys_id;
private Integer[] superior_ids;
public long getId() {
return id;
}
public void setId(long id) {
this.id = id;
}
public String getAttack_type() {
return attack_type;
}
public void setAttack_type(String attack_type) {
this.attack_type = attack_type;
}
public ArrayList<String> getServer_ip_list() {
return server_ip_list;
}
public void setServer_ip_list(ArrayList<String> server_ip_list) {
this.server_ip_list = server_ip_list;
}
public String getServer_ip_addr() {
return server_ip_addr;
}
public void setServer_ip_addr(String server_ip_addr) {
this.server_ip_addr = server_ip_addr;
}
public long getPackets_per_sec() {
return packets_per_sec;
}
public void setPackets_per_sec(long packets_per_sec) {
this.packets_per_sec = packets_per_sec;
}
public long getBits_per_sec() {
return bits_per_sec;
}
public void setBits_per_sec(long bits_per_sec) {
this.bits_per_sec = bits_per_sec;
}
public long getSessions_per_sec() {
return sessions_per_sec;
}
public void setSessions_per_sec(long sessions_per_sec) {
this.sessions_per_sec = sessions_per_sec;
}
public int getIs_enabled() {
return is_enabled;
}
public void setIs_enabled(int is_enabled) {
this.is_enabled = is_enabled;
}
public int getVsys_id() {
return vsys_id;
}
public void setVsys_id(int vsys_id) {
this.vsys_id = vsys_id;
}
public Integer[] getSuperior_ids() {
return superior_ids;
}
public void setSuperior_ids(Integer[] superior_ids) {
this.superior_ids = superior_ids;
}
@Override
public String toString() {
return "DosDetectionThreshold{" +
"id=" + id +
", attack_type='" + attack_type + '\'' +
", server_ip_list=" + server_ip_list +
", server_ip_addr='" + server_ip_addr + '\'' +
", packets_per_sec=" + packets_per_sec +
", bits_per_sec=" + bits_per_sec +
", sessions_per_sec=" + sessions_per_sec +
", is_enabled=" + is_enabled +
", vsys_id=" + vsys_id +
", superior_ids=" + Arrays.toString(superior_ids) +
'}';
}
}

View File

@@ -2,11 +2,13 @@ package com.zdjizhi.common;
import java.io.Serializable;
public class DosEventLog implements Serializable {
public class DosEventLog implements Serializable, Cloneable {
private long recv_time;
private long log_id;
private int vsys_id;
private long start_time;
private long end_time;
private long profile_id;
private String attack_type;
private String severity;
private String conditions;
@@ -17,6 +19,18 @@ public class DosEventLog implements Serializable {
private long session_rate;
private long packet_rate;
private long bit_rate;
private long sessions;
private long packets;
private long bytes;
private int rule_id;
public long getRecv_time() {
return recv_time;
}
public void setRecv_time(long recv_time) {
this.recv_time = recv_time;
}
public long getLog_id() {
return log_id;
@@ -26,6 +40,14 @@ public class DosEventLog implements Serializable {
this.log_id = log_id;
}
public int getVsys_id() {
return vsys_id;
}
public void setVsys_id(int vsys_id) {
this.vsys_id = vsys_id;
}
public long getStart_time() {
return start_time;
}
@@ -42,6 +64,14 @@ public class DosEventLog implements Serializable {
this.end_time = end_time;
}
public long getProfile_id() {
return profile_id;
}
public void setProfile_id(long profile_id) {
this.profile_id = profile_id;
}
public String getAttack_type() {
return attack_type;
}
@@ -122,12 +152,47 @@ public class DosEventLog implements Serializable {
this.bit_rate = bit_rate;
}
public long getSessions() {
return sessions;
}
public void setSessions(long sessions) {
this.sessions = sessions;
}
public long getPackets() {
return packets;
}
public void setPackets(long packets) {
this.packets = packets;
}
public long getBytes() {
return bytes;
}
public void setBytes(long bytes) {
this.bytes = bytes;
}
public int getRule_id() {
return rule_id;
}
public void setRule_id(int rule_id) {
this.rule_id = rule_id;
}
@Override
public String toString() {
return "dosEventLog{" +
"log_id=" + log_id +
return "DosEventLog{" +
"recv_time=" + recv_time +
", log_id=" + log_id +
", vsys_id=" + vsys_id +
", start_time=" + start_time +
", end_time=" + end_time +
", profile_id=" + profile_id +
", attack_type='" + attack_type + '\'' +
", severity='" + severity + '\'' +
", conditions='" + conditions + '\'' +
@@ -140,4 +205,10 @@ public class DosEventLog implements Serializable {
", bit_rate=" + bit_rate +
'}';
}
@Override
public Object clone() throws CloneNotSupportedException {
return super.clone();
}
}

View File

@@ -1,17 +1,26 @@
package com.zdjizhi.common;
import java.io.Serializable;
import java.util.Objects;
public class DosMetricsLog implements Serializable {
private long sketch_start_time;
private String common_sled_ip;
private String common_data_center;
private String attack_type;
private String destination_ip;
private long session_rate;
private long packet_rate;
private long bit_rate;
private int partition_num;
private int vsys_id;
public int getPartition_num() {
return partition_num;
}
public void setPartition_num(int partition_num) {
this.partition_num = partition_num;
}
public long getSketch_start_time() {
return sketch_start_time;
@@ -21,22 +30,6 @@ public class DosMetricsLog implements Serializable {
this.sketch_start_time = sketch_start_time;
}
public String getCommon_sled_ip() {
return common_sled_ip;
}
public void setCommon_sled_ip(String common_sled_ip) {
this.common_sled_ip = common_sled_ip;
}
public String getCommon_data_center() {
return common_data_center;
}
public void setCommon_data_center(String common_data_center) {
this.common_data_center = common_data_center;
}
public String getAttack_type() {
return attack_type;
}
@@ -77,17 +70,25 @@ public class DosMetricsLog implements Serializable {
this.bit_rate = bit_rate;
}
public int getVsys_id() {
return vsys_id;
}
public void setVsys_id(int vsys_id) {
this.vsys_id = vsys_id;
}
@Override
public String toString() {
return "DosMetricsLog{" +
"sketch_start_time=" + sketch_start_time +
", common_sled_ip='" + common_sled_ip + '\'' +
", common_data_center='" + common_data_center + '\'' +
", attack_type='" + attack_type + '\'' +
", destination_ip='" + destination_ip + '\'' +
", session_rate=" + session_rate +
", packet_rate=" + packet_rate +
", bit_rate=" + bit_rate +
", partition_num=" + partition_num +
", vsys_id=" + vsys_id +
'}';
}
}

View File

@@ -1,66 +1,238 @@
package com.zdjizhi.common;
import java.io.Serializable;
import java.util.HashSet;
import java.util.Map;
import java.util.Objects;
public class DosSketchLog implements Serializable {
private String common_sled_ip;
private String common_data_center;
private long sketch_start_time;
private long sketch_duration;
private String name;
private long recv_time;
private long timestamp_ms;
private String device_id;
private String data_center;
private String device_group;
private String decoded_as;
private int rule_id;
private String client_country;
private String server_country;
private String client_ip;
private String server_ip;
private long sessions;
private long pkts;
private long bytes;
private int vsys_id;
private long start_timestamp_ms;
private long end_timestamp_ms;
private long duration;
private HashSet<String> client_ips;
private HashSet<String> client_countrys;
private long session_rate;
private long packet_rate;
private long bit_rate;
private String attack_type;
private String source_ip;
private String destination_ip;
private long sketch_sessions;
private long sketch_packets;
private long sketch_bytes;
@Override
public String toString() {
return "DosSketchLog{" +
"common_sled_ip='" + common_sled_ip + '\'' +
", common_data_center='" + common_data_center + '\'' +
", sketch_start_time=" + sketch_start_time +
", sketch_duration=" + sketch_duration +
", attack_type='" + attack_type + '\'' +
", source_ip='" + source_ip + '\'' +
", destination_ip='" + destination_ip + '\'' +
", sketch_sessions=" + sketch_sessions +
", sketch_packets=" + sketch_packets +
", sketch_bytes=" + sketch_bytes +
"name=" + name +
", timestamp_ms='" + timestamp_ms + '\'' +
", device_id='" + device_id + '\'' +
", data_center=" + data_center +
", device_group=" + device_group +
", decoded_as='" + decoded_as + '\'' +
", client_country='" + client_country + '\'' +
", server_country='" + server_country + '\'' +
", client_ip=" + client_ip +
", server_ip=" + server_ip +
", vsys_id=" + vsys_id +
'}';
}
public String getCommon_sled_ip() {
return common_sled_ip;
public HashSet<String> getClient_ips() {
return client_ips;
}
public void setCommon_sled_ip(String common_sled_ip) {
this.common_sled_ip = common_sled_ip;
public void setClient_ips(HashSet<String> client_ips) {
this.client_ips = client_ips;
}
public String getCommon_data_center() {
return common_data_center;
public HashSet<String> getClient_countrys() {
return client_countrys;
}
public void setCommon_data_center(String common_data_center) {
this.common_data_center = common_data_center;
public void setClient_countrys(HashSet<String> client_countrys) {
this.client_countrys = client_countrys;
}
public long getSketch_start_time() {
return sketch_start_time;
public long getRecv_time() {
return recv_time;
}
public void setSketch_start_time(long sketch_start_time) {
this.sketch_start_time = sketch_start_time;
public void setRecv_time(long recv_time) {
this.recv_time = recv_time;
}
public long getSketch_duration() {
return sketch_duration;
public String getName() {
return name;
}
public void setSketch_duration(long sketch_duration) {
this.sketch_duration = sketch_duration;
public void setName(String name) {
this.name = name;
}
public long getTimestamp_ms() {
return timestamp_ms;
}
public void setTimestamp_ms(long timestamp_ms) {
this.timestamp_ms = timestamp_ms;
}
public String getDevice_id() {
return device_id;
}
public void setDevice_id(String device_id) {
this.device_id = device_id;
}
public String getData_center() {
return data_center;
}
public void setData_center(String data_center) {
this.data_center = data_center;
}
public String getDevice_group() {
return device_group;
}
public void setDevice_group(String device_group) {
this.device_group = device_group;
}
public String getDecoded_as() {
return decoded_as;
}
public void setDecoded_as(String decoded_as) {
this.decoded_as = decoded_as;
}
public String getClient_country() {
return client_country;
}
public void setClient_country(String client_country) {
this.client_country = client_country;
}
public String getServer_country() {
return server_country;
}
public void setServer_country(String server_country) {
this.server_country = server_country;
}
public String getClient_ip() {
return client_ip;
}
public void setClient_ip(String client_ip) {
this.client_ip = client_ip;
}
public String getServer_ip() {
return server_ip;
}
public void setServer_ip(String server_ip) {
this.server_ip = server_ip;
}
public long getSessions() {
return sessions;
}
public void setSessions(long sessions) {
this.sessions = sessions;
}
public long getPkts() {
return pkts;
}
public void setPkts(long pkts) {
this.pkts = pkts;
}
public long getBytes() {
return bytes;
}
public void setBytes(long bytes) {
this.bytes = bytes;
}
public int getVsys_id() {
return vsys_id;
}
public void setVsys_id(int vsys_id) {
this.vsys_id = vsys_id;
}
public long getStart_timestamp_ms() {
return start_timestamp_ms;
}
public void setStart_timestamp_ms(long start_timestamp_ms) {
this.start_timestamp_ms = start_timestamp_ms;
}
public long getEnd_timestamp_ms() {
return end_timestamp_ms;
}
public void setEnd_timestamp_ms(long end_timestamp_ms) {
this.end_timestamp_ms = end_timestamp_ms;
}
public long getDuration() {
return duration;
}
public void setDuration(long duration) {
this.duration = duration;
}
public long getSession_rate() {
return session_rate;
}
public void setSession_rate(long session_rate) {
this.session_rate = session_rate;
}
public long getPacket_rate() {
return packet_rate;
}
public void setPacket_rate(long packet_rate) {
this.packet_rate = packet_rate;
}
public long getBit_rate() {
return bit_rate;
}
public void setBit_rate(long bit_rate) {
this.bit_rate = bit_rate;
}
public String getAttack_type() {
@@ -71,43 +243,12 @@ public class DosSketchLog implements Serializable {
this.attack_type = attack_type;
}
public String getSource_ip() {
return source_ip;
public int getRule_id() {
return rule_id;
}
public void setSource_ip(String source_ip) {
this.source_ip = source_ip;
}
public String getDestination_ip() {
return destination_ip;
}
public void setDestination_ip(String destination_ip) {
this.destination_ip = destination_ip;
}
public long getSketch_sessions() {
return sketch_sessions;
}
public void setSketch_sessions(long sketch_sessions) {
this.sketch_sessions = sketch_sessions;
}
public long getSketch_packets() {
return sketch_packets;
}
public void setSketch_packets(long sketch_packets) {
this.sketch_packets = sketch_packets;
}
public long getSketch_bytes() {
return sketch_bytes;
}
public void setSketch_bytes(long sketch_bytes) {
this.sketch_bytes = sketch_bytes;
public void setRule_id(int rule_id) {
this.rule_id = rule_id;
}
}

View File

@@ -0,0 +1,42 @@
package com.zdjizhi.common.pojo;
import java.util.Map;
public class DosSketchMetricsLog {
private String name;
private Map<String,String> tags;
private Map<String,Long> fields;
private long timestamp_ms;
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public Map<String, String> getTags() {
return tags;
}
public void setTags(Map<String, String> tags) {
this.tags = tags;
}
public Map<String, Long> getFields() {
return fields;
}
public void setFields(Map<String, Long> fields) {
this.fields = fields;
}
public long getTimestamp_ms() {
return timestamp_ms;
}
public void setTimestamp_ms(long timestamp_ms) {
this.timestamp_ms = timestamp_ms;
}
}

View File

@@ -0,0 +1,218 @@
package com.zdjizhi.conf;
import org.apache.flink.configuration.ConfigOption;
import org.apache.flink.configuration.ConfigOptions;
public class DosConfigs {
/**
* The prefix for Kafka properties used in the source.
*/
public static final String SOURCE_KAFKA_PROPERTIES_PREFIX = "source.kafka.props.";
/**
* The prefix for Kafka properties used in the sink.
*/
public static final String SINK_KAFKA_PROPERTIES_PREFIX = "sink.kafka.props.";
/**
* Configuration option for the Kafka topic used in the source.
*/
public static final ConfigOption<String> SOURCE_KAFKA_TOPIC =
ConfigOptions.key("source.kafka.topic")
.stringType()
.noDefaultValue();
public static final ConfigOption<Long> FLINK_WINDOW_MAX_TIME =
ConfigOptions.key("flink.window.max.time")
.longType()
.noDefaultValue();
public static final ConfigOption<Long> FLINK_WATERMARK_MAX_ORDERNESS =
ConfigOptions.key("flink.watermark.max.orderness")
.longType()
.noDefaultValue();
/**
* Configuration option for the Kafka topic used in the sink.
*/
public static final ConfigOption<String> KAFKA_SINK_EVENT_TOPIC =
ConfigOptions.key("kafka.sink.event.topic.name")
.stringType()
.noDefaultValue();
public static final ConfigOption<String> KAFKA_SINK_METRIC_TOPIC =
ConfigOptions.key("kafka.sink.metric.topic")
.stringType()
.noDefaultValue();
public static final ConfigOption<String> HBASE_ZOOKEEPER_QUORUM =
ConfigOptions.key("hbase.zookeeper.quorum")
.stringType()
.noDefaultValue();
//==============================The following variables have default values=====================================
/**
* Configuration option for the source parallelism used in the source.
*/
public static final ConfigOption<Integer> SOURCE_PARALLELISM =
ConfigOptions.key("source.parallelism")
.intType()
.defaultValue(1);
public static final ConfigOption<Integer> Flink_FIRST_AGG_PATALLELISM =
ConfigOptions.key("flink.first.agg.parallelism")
.intType()
.defaultValue(1);
public static final ConfigOption<Integer> FLINK_DETECTION_MAP_PARALLELISM =
ConfigOptions.key("flink.detection.map.parallelism")
.intType()
.defaultValue(1);
public static final ConfigOption<Integer> KAFKA_SINK_EVENT_PARALLELISM =
ConfigOptions.key("kafka.sink.event.parallelism")
.intType()
.defaultValue(1);
public static final ConfigOption<Integer> KAFKA_SINK_METRIC_PARALLELISM =
ConfigOptions.key("kafka.sink.metric.parallelism")
.intType()
.defaultValue(1);
public static final ConfigOption<String> IP_BUILTIN_KD_ID =
ConfigOptions.key("ip.builtin.kd.id")
.stringType()
.defaultValue("64af7077-eb9b-4b8f-80cf-2ceebc89bea9");
public static final ConfigOption<String> IP_USER_DEFINED_KD_ID =
ConfigOptions.key("ip.user.defined.kd.id")
.stringType()
.defaultValue("004390bc-3135-4a6f-a492-3662ecb9e289");
public static final ConfigOption<Integer> HTTP_SOCKET_TIMEOUT =
ConfigOptions.key("http.socket.timeout")
.intType()
.defaultValue(90000);
public static final ConfigOption<Integer> BASELINE_THRESHOLD_SCHEDULE_DAYS =
ConfigOptions.key("baseline.threshold.schedule.days")
.intType()
.defaultValue(7);
public static final ConfigOption<Integer> STATIC_SENSITIVITY_THRESHOLD =
ConfigOptions.key("static.sensitivity.threshold")
.intType()
.defaultValue(1);
public static final ConfigOption<Double> BASELINE_SENSITIVITY_THRESHOLD =
ConfigOptions.key("baseline.sensitivity.threshold")
.doubleType()
.defaultValue(0.2);
public static final ConfigOption<Double> BASELINE_SESSIONS_MINOR_THRESHOLD =
ConfigOptions.key("baseline.sessions.minor.threshold")
.doubleType()
.defaultValue(0.2);
public static final ConfigOption<Double> BASELINE_SESSIONS_WARNING_THRESHOLD =
ConfigOptions.key("baseline.sessions.warning.threshold")
.doubleType()
.defaultValue(1.0);
public static final ConfigOption<Double> BASELINE_SESSIONS_MAJOR_THRESHOLD =
ConfigOptions.key("baseline.sessions.major.threshold")
.doubleType()
.defaultValue(2.5);
public static final ConfigOption<Double> BASELINE_SESSIONS_SEVERE_THRESHOLD =
ConfigOptions.key("baseline.sessions.severe.threshold")
.doubleType()
.defaultValue(5.0);
public static final ConfigOption<Double> BASELINE_SESSIONS_CRITICAL_THRESHOLD =
ConfigOptions.key("baseline.sessions.critical.threshold")
.doubleType()
.defaultValue(8.0);
public static final ConfigOption<Integer> HTTP_POOL_MAX_CONNECTION =
ConfigOptions.key("http.pool.max.connection")
.intType()
.defaultValue(400);
public static final ConfigOption<Integer> HTTP_POOL_MAX_PER_ROUTE =
ConfigOptions.key("http.pool.max.per.route")
.intType()
.defaultValue(80);
public static final ConfigOption<Integer> HTTP_POOL_REQUEST_TIMEOUT =
ConfigOptions.key("http.pool.request.timeout")
.intType()
.defaultValue(60000);
public static final ConfigOption<Integer> HTTP_POOL_CONNECT_TIMEOUT =
ConfigOptions.key("http.pool.connect.timeout")
.intType()
.defaultValue(60000);
public static final ConfigOption<Integer> DATA_CENTER_ID_NUM =
ConfigOptions.key("data.center.id.num")
.intType()
.defaultValue(15);
public static final ConfigOption<Integer> HBASE_CLIENT_OPERATION_TIMEOUT =
ConfigOptions.key("hbase.client.operation.timeout")
.intType()
.defaultValue(30000);
public static final ConfigOption<Integer> HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD =
ConfigOptions.key("hbase.client.scanner.timeout.period")
.intType()
.defaultValue(30000);
public static final ConfigOption<String> HBASE_BASELINE_TABLE_NAME =
ConfigOptions.key("hbase.baseline.table.name")
.stringType()
.defaultValue("dos:ddos_traffic_baselines");
public static final ConfigOption<Integer> HBASE_BASELINE_TTL =
ConfigOptions.key("hbase.baseline.ttl")
.intType()
.defaultValue(10);
public static final ConfigOption<Integer> HBASE_BASELINE_TOTAL_NUM =
ConfigOptions.key("hbase.baseline.total.num")
.intType()
.defaultValue(1000000);
public static final ConfigOption<Integer> DESTINATION_IP_PARTITION_NUM =
ConfigOptions.key("destination.ip.partition.num")
.intType()
.defaultValue(10000);
public static final ConfigOption<Integer> SOURCE_IP_LIST_LIMIT =
ConfigOptions.key("source.ip.list.limit")
.intType()
.defaultValue(10000);
/**
* Knowledge base scheduling cycle, in minutes
*/
public static final ConfigOption<Long> KNOWLEDGE_BASE_SCHEDULE_MINUTES =
ConfigOptions.key("knowledge.base.schedule.minutes")
.longType()
.defaultValue(60L);
public static final ConfigOption<String> JOB_NAME =
ConfigOptions.key("job.name")
.stringType()
.defaultValue("detection_dos_attack")
.withDescription("The flink job name.");
}

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@@ -0,0 +1,36 @@
package com.zdjizhi.conf;
import org.apache.flink.configuration.Configuration;
import java.util.Properties;
public class DosConfiguration {
private final Configuration config;
public DosConfiguration(final Configuration config) {
this.config = config;
}
/**
* Retrieves properties from the underlying `Configuration` instance that start with the specified
* `prefix`. The properties are then converted into a `java.util.Properties` object and returned.
*
* @param prefix The prefix to filter properties.
* @return A `java.util.Properties` object containing the properties with the specified prefix.
*/
public Properties getProperties(final String prefix) {
if (prefix == null) {
final Properties props = new Properties();
props.putAll(config.toMap());
return props;
}
return config.toMap()
.entrySet()
.stream()
.filter(entry -> entry.getKey().startsWith(prefix))
.collect(Properties::new, (props, e) ->
props.setProperty(e.getKey().substring(prefix.length()), e.getValue()),
Properties::putAll);
}
}

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@@ -1,191 +0,0 @@
package com.zdjizhi.etl;
import com.zdjizhi.common.CommonConfig;
import com.zdjizhi.common.DosEventLog;
import com.zdjizhi.common.DosSketchLog;
import com.zdjizhi.sink.OutputStreamSink;
import com.zdjizhi.utils.IpUtils;
import com.zdjizhi.utils.SnowflakeId;
import org.apache.commons.lang.StringUtils;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.typeutils.MapTypeInfo;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction;
import org.apache.flink.util.Collector;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.text.NumberFormat;
import java.text.ParseException;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
/**
* @author wlh
* DoS检测判断逻辑
*/
public class DosDetection extends BroadcastProcessFunction<DosSketchLog, Map<String, Map<String, List<Integer>>>, DosEventLog> {
private static final Logger logger = LoggerFactory.getLogger(DosDetection.class);
private final static int BASELINE_SIZE = 144;
private static MapStateDescriptor<String, Map<String, Map<String, List<Integer>>>> descriptor = new MapStateDescriptor<>("boradcast-state",
Types.STRING,
new MapTypeInfo<>(String.class, new MapTypeInfo<>(String.class, (Class<List<Integer>>) (Class<?>) List.class).getTypeClass()));
private final static NumberFormat PERCENT_INSTANCE = NumberFormat.getPercentInstance();
@Override
public void open(Configuration parameters) {
PERCENT_INSTANCE.setMinimumFractionDigits(2);
}
@Override
public void processElement(DosSketchLog value, ReadOnlyContext ctx, Collector<DosEventLog> out) throws Exception {
try {
Map<String, Map<String, List<Integer>>> broadcast = ctx.getBroadcastState(descriptor).get("broadcast-state");
String destinationIp = value.getDestination_ip();
String attackType = value.getAttack_type();
logger.info("当前判断IP{}, 类型: {}",destinationIp,attackType);
if (broadcast.containsKey(destinationIp)){
List<Integer> baseline = broadcast.get(destinationIp).get(attackType);
if (baseline != null && baseline.size() == BASELINE_SIZE){
int timeIndex = getCurrentTimeIndex(value.getSketch_start_time());
Integer base = baseline.get(timeIndex);
long sketchSessions = value.getSketch_sessions();
long diff = sketchSessions - base;
if (diff > 0){
String percent = getDiffPercent(diff, sketchSessions);
double diffPercentDouble = getDiffPercentDouble(percent);
Severity severity = judgeSeverity(diffPercentDouble);
if (severity != Severity.NORMAL){
DosEventLog result = getResult(value, severity, percent);
logger.info("检测到当前server IP {} 存在 {} 异常,日志详情\n {}",destinationIp,attackType,result.toString());
out.collect(result);
}else {
logger.info("当前server IP{} 未出现 {} 异常,日志详情 {}",destinationIp,attackType,value.toString());
}
}
}
}else {
logger.info("未获取到当前server IP{} 类型 {} baseline数据",destinationIp,attackType);
}
}catch (Exception e){
logger.error("判定失败\n {} \n{}",value,e);
}
}
@Override
public void processBroadcastElement(Map<String, Map<String, List<Integer>>> value, Context ctx, Collector<DosEventLog> out) {
try {
ctx.getBroadcastState(descriptor).put("broadcast-state", value);
}catch (Exception e){
logger.error("更新广播状态失败 {}",e);
}
}
public static void main(String[] args) {
DosDetection dosDetection = new DosDetection();
// HashSet<String> strings = new HashSet<>();
// strings.add("13.46.241.36");
// strings.add("25.46.241.45");
// strings.add("133.46.241.53");
// strings.add("219.46.242.74");
// strings.add("153.146.241.196");
// strings.add("132.46.241.21");
// String join = StringUtils.join(strings, ",");
// System.out.println(IpUtils.ipLookup.countryLookup("192.168.50.150"));
System.out.println(Severity.CRITICAL.severity);
}
private DosEventLog getResult(DosSketchLog value,Severity severity,String percent){
DosEventLog dosEventLog = new DosEventLog();
dosEventLog.setLog_id(SnowflakeId.generateId());
dosEventLog.setStart_time(value.getSketch_start_time());
dosEventLog.setEnd_time(value.getSketch_start_time()+CommonConfig.FLINK_WINDOW_MAX_TIME);
dosEventLog.setAttack_type(value.getAttack_type());
dosEventLog.setSeverity(severity.toString());
dosEventLog.setConditions(getConditions(percent));
dosEventLog.setDestination_ip(value.getDestination_ip());
dosEventLog.setDestination_country(IpUtils.ipLookup.countryLookup(value.getDestination_ip()));
String ipList = value.getSource_ip();
dosEventLog.setSource_ip_list(ipList);
dosEventLog.setSource_country_list(getSourceCountryList(ipList));
dosEventLog.setSession_rate(value.getSketch_sessions());
dosEventLog.setPacket_rate(value.getSketch_packets());
dosEventLog.setBit_rate(value.getSketch_bytes());
return dosEventLog;
}
private String getConditions(String percent){
return "sessions > "+percent+" of baseline";
}
private String getSourceCountryList(String sourceIpList){
String[] ipArr = sourceIpList.split(",");
HashSet<String> countrySet = new HashSet<>();
for (String ip:ipArr){
countrySet.add(IpUtils.ipLookup.countryLookup(ip));
}
return StringUtils.join(countrySet,",");
}
private int getCurrentTimeIndex(long sketchStartTime){
long currentDayTime = sketchStartTime / (60 * 60 * 24) * 60 * 60 * 24;
long indexLong = (sketchStartTime - currentDayTime) / 600;
return Integer.parseInt(Long.toString(indexLong));
}
private String getDiffPercent(long diff,long sketchSessions){
double diffDou = Double.parseDouble(Long.toString(diff));
double sessDou = Double.parseDouble(Long.toString(sketchSessions));
return PERCENT_INSTANCE.format(diffDou / sessDou);
}
private double getDiffPercentDouble(String diffPercent) throws ParseException {
return PERCENT_INSTANCE.parse(diffPercent).doubleValue();
}
private Severity judgeSeverity(double diffPercent){
if (diffPercent >= CommonConfig.BASELINE_SESSIONS_MINOR_THRESHOLD && diffPercent < CommonConfig.BASELINE_SESSIONS_WARNING_THRESHOLD){
return Severity.MINOR;
}else if (diffPercent >= CommonConfig.BASELINE_SESSIONS_WARNING_THRESHOLD && diffPercent < CommonConfig.BASELINE_SESSIONS_MAJOR_THRESHOLD){
return Severity.WARNING;
}else if (diffPercent >= CommonConfig.BASELINE_SESSIONS_MAJOR_THRESHOLD && diffPercent < CommonConfig.BASELINE_SESSIONS_SEVERE_THRESHOLD){
return Severity.MAJOR;
}else if (diffPercent >= CommonConfig.BASELINE_SESSIONS_SEVERE_THRESHOLD && diffPercent < CommonConfig.BASELINE_SESSIONS_CRITICAL_THRESHOLD){
return Severity.SEVERE;
}else if (diffPercent >= CommonConfig.BASELINE_SESSIONS_CRITICAL_THRESHOLD){
return Severity.CRITICAL;
}else {
return Severity.NORMAL;
}
}
private enum Severity {
/**
* 判断严重程度枚举类型
*/
CRITICAL("Critical"),
SEVERE("Severe"),
MAJOR("Major"),
WARNING("Warning"),
MINOR("Minor"),
NORMAL("Normal");
private final String severity;
@Override
public String toString() {
return this.severity;
}
Severity(String severity) {
this.severity = severity;
}
}
}

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@@ -1,92 +0,0 @@
package com.zdjizhi.etl;
import com.zdjizhi.common.CommonConfig;
import com.zdjizhi.common.DosSketchLog;
import org.apache.commons.lang.StringUtils;
import org.apache.flink.api.java.tuple.Tuple4;
import org.apache.flink.api.java.tuple.Tuple6;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.HashSet;
import static com.zdjizhi.sink.OutputStreamSink.outputTag;
/**
* @author 94976
*/
public class EtlProcessFunction extends ProcessWindowFunction<DosSketchLog, DosSketchLog, Tuple4<String,String,String,String>, TimeWindow> {
private static final Logger logger = LoggerFactory.getLogger(EtlProcessFunction.class);
@Override
public void process(Tuple4<String,String, String, String> keys,
Context context, Iterable<DosSketchLog> elements,
Collector<DosSketchLog> out) {
DosSketchLog middleResult = getMiddleResult(keys, elements);
try {
if (middleResult != null){
out.collect(middleResult);
logger.info("获取中间聚合结果:{}",middleResult.toString());
context.output(outputTag,TrafficServerIpMetrics.getOutputMetric(middleResult));
}
}catch (Exception e){
logger.error("获取中间聚合结果失败,middleResult: {}\n{}",middleResult.toString(),e);
}
}
private DosSketchLog getMiddleResult(Tuple4<String,String, String, String> keys,Iterable<DosSketchLog> elements){
DosSketchLog midResuleLog = new DosSketchLog();
Tuple6<Long, Long, Long,String,Long,Long> values = sketchAggregate(elements);
try {
if (values != null){
midResuleLog.setCommon_sled_ip(keys.f0);
midResuleLog.setCommon_data_center(keys.f1);
midResuleLog.setDestination_ip(keys.f3);
midResuleLog.setAttack_type(keys.f2);
midResuleLog.setSketch_start_time(values.f4);
midResuleLog.setSketch_duration(values.f5);
midResuleLog.setSource_ip(values.f3);
midResuleLog.setSketch_sessions(values.f0);
midResuleLog.setSketch_packets(values.f1);
midResuleLog.setSketch_bytes(values.f2);
return midResuleLog;
}
} catch (Exception e){
logger.error("加载中间结果集失败,keys: {} values: {}\n{}",keys,values,e);
}
return null;
}
private Tuple6<Long, Long, Long,String,Long,Long> sketchAggregate(Iterable<DosSketchLog> elements){
int cnt = 1;
long sessions = 0;
long packets = 0 ;
long bytes = 0;
long startTime = 0;
long duration = 0;
HashSet<String> sourceIpSet = new HashSet<>();
try {
for (DosSketchLog newSketchLog : elements){
sessions += newSketchLog.getSketch_sessions();
packets += newSketchLog.getSketch_packets();
bytes += newSketchLog.getSketch_bytes();
startTime = newSketchLog.getSketch_start_time();
duration = newSketchLog.getSketch_duration();
cnt += 1;
if (sourceIpSet.size() < CommonConfig.SOURCE_IP_LIST_LIMIT){
sourceIpSet.add(newSketchLog.getSource_ip());
}
}
String sourceIpList = StringUtils.join(sourceIpSet, ",");
return Tuple6.of(sessions/cnt,packets/cnt,bytes/cnt,sourceIpList,startTime,duration);
}catch (Exception e){
logger.error("聚合中间结果集失败 {}",e);
}
return null;
}
}

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@@ -1,83 +0,0 @@
package com.zdjizhi.etl;
import com.zdjizhi.common.CommonConfig;
import com.zdjizhi.common.DosSketchLog;
import com.zdjizhi.source.DosSketchSource;
import com.zdjizhi.utils.FlinkEnvironmentUtils;
import com.zdjizhi.utils.JsonMapper;
import com.zdjizhi.utils.StringUtil;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.util.Collector;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.time.Duration;
import java.util.ArrayList;
import java.util.HashMap;
public class ParseSketchLog {
private static Logger logger = LoggerFactory.getLogger(ParseSketchLog.class);
public static SingleOutputStreamOperator<DosSketchLog> getSketchSource(){
return flatSketchSource().assignTimestampsAndWatermarks(createWatermarkStrategy());
}
private static SingleOutputStreamOperator<DosSketchLog> flatSketchSource(){
return DosSketchSource.createDosSketchSource().flatMap(new FlatSketchLog());
}
private static WatermarkStrategy<DosSketchLog> createWatermarkStrategy(){
return WatermarkStrategy
.<DosSketchLog>forBoundedOutOfOrderness(Duration.ofSeconds(CommonConfig.FLINK_WATERMARK_MAX_ORDERNESS))
.withTimestampAssigner((event, timestamp) -> event.getSketch_start_time() * 1000);
}
private static class FlatSketchLog implements FlatMapFunction<String, DosSketchLog> {
@Override
public void flatMap(String s, Collector<DosSketchLog> collector) throws Exception {
try {
if (StringUtil.isNotBlank(s)){
HashMap<String, Object> sketchSource = (HashMap<String, Object>) JsonMapper.fromJsonString(s, Object.class);
String commonSledIp = sketchSource.get("common_sled_ip").toString();
String commonDataCenter = sketchSource.get("common_data_center").toString();
long sketchStartTime = Long.parseLong(sketchSource.get("sketch_start_time").toString());
long sketchDuration = Long.parseLong(sketchSource.get("sketch_duration").toString());
String attackType = sketchSource.get("attack_type").toString();
ArrayList<HashMap<String, Object>> reportIpList = (ArrayList<HashMap<String, Object>>) sketchSource.get("report_ip_list");
for (HashMap<String, Object> obj : reportIpList) {
DosSketchLog dosSketchLog = new DosSketchLog();
dosSketchLog.setCommon_sled_ip(commonSledIp);
dosSketchLog.setCommon_data_center(commonDataCenter);
dosSketchLog.setSketch_start_time(sketchStartTime);
dosSketchLog.setSketch_duration(sketchDuration);
dosSketchLog.setAttack_type(attackType);
String sourceIp = obj.get("source_ip").toString();
String destinationIp = obj.get("destination_ip").toString();
long sketchSessions = Long.parseLong(obj.get("sketch_sessions").toString());
long sketchPackets = Long.parseLong(obj.get("sketch_packets").toString());
long sketchBytes = Long.parseLong(obj.get("sketch_bytes").toString());
dosSketchLog.setSource_ip(sourceIp);
dosSketchLog.setDestination_ip(destinationIp);
dosSketchLog.setSketch_sessions(sketchSessions/sketchDuration);
dosSketchLog.setSketch_packets(sketchPackets/sketchDuration);
dosSketchLog.setSketch_bytes(sketchBytes*8/sketchDuration);
collector.collect(dosSketchLog);
logger.info("数据解析成功:{}",dosSketchLog.toString());
}
}
} catch (Exception e) {
logger.error("数据解析错误:{} \n{}",s,e);
}
}
}
public static void main(String[] args) throws Exception {
flatSketchSource().print();
FlinkEnvironmentUtils.streamExeEnv.execute();
}
}

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@@ -1,32 +0,0 @@
package com.zdjizhi.etl;
import com.zdjizhi.common.CommonConfig;
import com.zdjizhi.common.DosMetricsLog;
import com.zdjizhi.common.DosSketchLog;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
class TrafficServerIpMetrics {
private static final Logger logger = LoggerFactory.getLogger(TrafficServerIpMetrics.class);
static DosMetricsLog getOutputMetric(DosSketchLog midResuleLog) {
DosMetricsLog dosMetricsLog = new DosMetricsLog();
dosMetricsLog.setSketch_start_time(timeFloor(System.currentTimeMillis()/1000));
dosMetricsLog.setCommon_sled_ip(midResuleLog.getCommon_sled_ip());
dosMetricsLog.setCommon_data_center(midResuleLog.getCommon_data_center());
dosMetricsLog.setDestination_ip(midResuleLog.getDestination_ip());
dosMetricsLog.setAttack_type(midResuleLog.getAttack_type());
dosMetricsLog.setSession_rate(midResuleLog.getSketch_sessions());
dosMetricsLog.setPacket_rate(midResuleLog.getSketch_packets());
dosMetricsLog.setBit_rate(midResuleLog.getSketch_bytes());
logger.info("metric 结果已加载:{}",dosMetricsLog.toString());
return dosMetricsLog;
}
private static long timeFloor(long sketchStartTime){
return sketchStartTime / CommonConfig.FLINK_WINDOW_MAX_TIME * CommonConfig.FLINK_WINDOW_MAX_TIME;
}
}

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package com.zdjizhi.function;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.geedgenetworks.utils.DateUtils;
import com.zdjizhi.common.*;
import com.zdjizhi.utils.Snowflakeld.SnowflakeId;
import com.zdjizhi.utils.Threshold.ParseBaselineThreshold;
import org.apache.commons.lang3.StringUtils;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.ProcessFunction;
import org.apache.flink.util.Collector;
import java.math.BigDecimal;
import java.text.NumberFormat;
import java.util.*;
import java.util.stream.Collectors;
import static com.zdjizhi.conf.DosConfigs.*;
/**
* @author wlh
*/
public class DosDetectionFunction extends ProcessFunction<DosSketchLog, DosEventLog> {
private static final Log logger = LogFactory.get();
private Map<String, Map<String, DosBaselineThreshold>> baselineMap = new HashMap<>();
private final NumberFormat PERCENT_INSTANCE = NumberFormat.getPercentInstance();
// private HashMap<Integer, HashMap<String, TreeRangeMap<IPAddress, DosDetectionThreshold>>> thresholdRangeMap;
private final int BASELINE_SIZE = 144;
private final int STATIC_CONDITION_TYPE = 1;
private final int BASELINE_CONDITION_TYPE = 2;
private final int SENSITIVITY_CONDITION_TYPE = 3;
private final String SESSIONS_TAG = "sessions";
private final String PACKETS_TAG = "packets";
private final String BITS_TAG = "bits";
private final int OTHER_BASELINE_TYPE = 3;
private SnowflakeId snowflakeId;
private Configuration configuration;
//private IpLookupUtils ipLookupUtils;
private ParseBaselineThreshold parseBaselineThresholdld;
@Override
public void open(Configuration parameters) {
configuration = (Configuration) getRuntimeContext()
.getExecutionConfig().getGlobalJobParameters();
snowflakeId = new SnowflakeId(configuration.get(DATA_CENTER_ID_NUM), getRuntimeContext().getIndexOfThisSubtask());
try {
parseBaselineThresholdld = new ParseBaselineThreshold(configuration);
baselineMap = parseBaselineThresholdld.readFromHbase();
Timer timer = new Timer();
timer.schedule(new TimerTask() {
@Override
public void run() {
baselineMap = parseBaselineThresholdld.readFromHbase();
logger.info("从Hbase获取baselineMap成功,baselineMap:" + baselineMap.toString());
}
}, configuration.get(BASELINE_THRESHOLD_SCHEDULE_DAYS) * 24 * 60 * 60 * 1000, configuration.get(BASELINE_THRESHOLD_SCHEDULE_DAYS) * 24 * 60 * 60 * 1000);
} catch (Exception e) {
logger.error("从Hbase获取baselineMap失败,失败原因为:" + e);
}
PERCENT_INSTANCE.setMinimumFractionDigits(2);
}
@Override
public void processElement(DosSketchLog value, Context ctx, Collector<DosEventLog> out) throws Exception {
DosEventLog finalResult = null;
try {
if (value.getRule_id() == 0) {
String destinationIp = value.getServer_ip();
int vsysId = value.getVsys_id();
String key = destinationIp + "-" + vsysId;
String attackType = value.getAttack_type();
DosDetectionThreshold threshold = null;
logger.debug("当前判断IP{}, 类型: {}", key, attackType);
if (threshold == null && baselineMap.containsKey(key)) {
finalResult = getDosEventLogByBaseline(value, key);
} else if (threshold == null && !baselineMap.containsKey(key)) {
finalResult = getDosEventLogBySensitivityThreshold(value);
}
else {
logger.debug("未获取到当前server IP{} 类型 {} 静态阈值 和 baseline", key, attackType);
}
}
else{
finalResult = getResult(value,0,0,Severity.MAJOR,0.0,0,"DoS Protection ["+value.getRule_id()+"]");
}
} catch(Exception e){
logger.error("判定失败\n {} \n{}", value, e);
}
if (finalResult != null) {
out.collect(finalResult);
}
}
private DosEventLog getDosEventLogBySensitivityThreshold(DosSketchLog value) {
long sketchSessionsRate = value.getSession_rate();
Integer staticSensitivityThreshold = configuration.get(STATIC_SENSITIVITY_THRESHOLD);
long diff = sketchSessionsRate - staticSensitivityThreshold;
return getDosEventLog(value, staticSensitivityThreshold, diff, 0, SENSITIVITY_CONDITION_TYPE, SESSIONS_TAG);
}
private DosEventLog getDosEventLogByBaseline(DosSketchLog value, String key) {
String attackType = value.getAttack_type();
long sketchSessionsRate = value.getSession_rate();
DosBaselineThreshold dosBaselineThreshold = baselineMap.get(key).get(attackType);
Integer base = getBaseValue(dosBaselineThreshold, value);
long diff = sketchSessionsRate - base;
return getDosEventLog(value, base, diff, 0, BASELINE_CONDITION_TYPE, SESSIONS_TAG);
}
private DosEventLog getDosEventLog(DosSketchLog value, long base, long diff, long profileId, int type, String tag) {
DosEventLog result = null;
String destinationIp = value.getServer_ip();
String attackType = value.getAttack_type();
if (diff > 0 && base != 0) {
double percent = getDiffPercent(diff, base);
Severity severity = judgeSeverity(percent);
Integer staticSensitivityThreshold = configuration.get(STATIC_SENSITIVITY_THRESHOLD);
if (severity != Severity.NORMAL) {
if (type == BASELINE_CONDITION_TYPE && percent < configuration.get(BASELINE_SENSITIVITY_THRESHOLD)) {
logger.debug("当前server IP:{},类型:{},基线值{}百分比{}未超过基线敏感阈值,日志详情\n{}", destinationIp, attackType, base, percent, value);
} else if ((type == BASELINE_CONDITION_TYPE || type == SENSITIVITY_CONDITION_TYPE) && value.getSession_rate() < staticSensitivityThreshold) {
logger.debug("当前server IP:{},类型:{},基线值{}百分比{}未超过静态敏感阈值,日志详情\n{}", destinationIp, attackType, base, percent, value);
} else {
result = getResult(value, base, profileId, severity, percent, type, tag);
if (type == SENSITIVITY_CONDITION_TYPE) {
result.setSeverity(Severity.MAJOR.severity);
}
logger.info("检测到当前server IP {} 存在 {} 异常,超出基线{} {}倍,基于{}:{}检测,日志详情\n {}", destinationIp, attackType, base, percent, type, tag, result);
}
} else {
logger.debug("当前server IP:{} 未出现 {} 异常,日志详情 {}", destinationIp, attackType, value);
}
}
return result;
}
private DosEventLog getResult(DosSketchLog value, long base, long profileId, Severity severity, double percent, int type, String tag) {
DosEventLog dosEventLog = new DosEventLog();
dosEventLog.setRecv_time(value.getRecv_time());
dosEventLog.setLog_id(snowflakeId.nextId());
dosEventLog.setVsys_id(value.getVsys_id());
dosEventLog.setStart_time(value.getStart_timestamp_ms()/1000);
dosEventLog.setEnd_time(value.getEnd_timestamp_ms()/1000);
dosEventLog.setProfile_id(profileId);
dosEventLog.setRule_id(value.getRule_id());
dosEventLog.setAttack_type(value.getAttack_type());
if(base != 0) {
dosEventLog.setSeverity(severity.severity);
dosEventLog.setConditions(getConditions(PERCENT_INSTANCE.format(percent), base, value.getSession_rate(), type, tag, dosEventLog));
}
else{
dosEventLog.setSeverity(severity.severity);
dosEventLog.setConditions(tag);
}
dosEventLog.setDestination_ip(value.getServer_ip());
dosEventLog.setDestination_country(value.getServer_country());
dosEventLog.setSource_ip_list(value.getClient_ips().stream().filter(ip -> !ip.isEmpty()).collect(Collectors.joining(",")));
dosEventLog.setSource_country_list(value.getClient_countrys().stream().filter(ip -> !ip.isEmpty()).collect(Collectors.joining(",")));
dosEventLog.setSession_rate(value.getSession_rate());
dosEventLog.setPacket_rate(value.getPacket_rate());
dosEventLog.setBit_rate(value.getBit_rate());
dosEventLog.setBytes(value.getBytes());
dosEventLog.setSessions(value.getSessions());
dosEventLog.setPackets(value.getPkts());
return dosEventLog;
}
private Integer getBaseValue(DosBaselineThreshold dosBaselineThreshold, DosSketchLog value) {
Integer base = 0;
try {
if (dosBaselineThreshold != null) {
ArrayList<Integer> baselines = dosBaselineThreshold.getSession_rate();
Integer defaultVaule = dosBaselineThreshold.getSession_rate_default_value();
Integer sessionRateBaselineType = dosBaselineThreshold.getSession_rate_baseline_type();
if (baselines != null && baselines.size() == BASELINE_SIZE) {
int timeIndex = getCurrentTimeIndex(value.getStart_timestamp_ms());
base = baselines.get(timeIndex);
if (base == 0) {
logger.debug("获取到当前IP: {},类型: {} baseline值为0,替换为P95观测值{}", value.getServer_ip(), value.getAttack_type(), defaultVaule);
base = defaultVaule;
}
if (sessionRateBaselineType == OTHER_BASELINE_TYPE && base < configuration.get(STATIC_SENSITIVITY_THRESHOLD)) {
base = configuration.get(STATIC_SENSITIVITY_THRESHOLD);
}
}
}
} catch (Exception e) {
logger.error("解析baseline数据失败,返回默认值0", e);
}
return base;
}
private String getConditions(String percent, long base, long sessions, int type, String tag, DosEventLog dosEventLog) {
int condition = 0;
if ("Minor".equals(dosEventLog.getSeverity())) {
condition = 50;
} else if ("Warning".equals(dosEventLog.getSeverity())) {
condition = 100;
} else if ("Major".equals(dosEventLog.getSeverity())) {
condition = 250;
} else if ("Severe".equals(dosEventLog.getSeverity())) {
condition = 500;
} else if ("Critical".equals(dosEventLog.getSeverity())) {
condition = 800;
}
switch (type) {
case STATIC_CONDITION_TYPE:
return "Rate > " +
base + " " +
tag + "/s" + "(>" + condition + "%)";
case BASELINE_CONDITION_TYPE:
return tag + " > " +
percent + " of baseline";
case SENSITIVITY_CONDITION_TYPE:
return String.valueOf(sessions) + " " +
tag + "/s Unusually high " +
StringUtils.capitalize(tag);
default:
throw new IllegalArgumentException("Illegal Argument type:" + type + ", known types = [1,2,3]");
}
}
private int getCurrentTimeIndex(long sketchStartTime) {
int index = 0;
try {
long currentDayTime = DateUtils.getTimeFloor(new Date(sketchStartTime * 1000L), "P1D").getTime() / 1000;
long indexLong = (sketchStartTime - currentDayTime) / (86400 / BASELINE_SIZE);
index = Integer.parseInt(Long.toString(indexLong));
} catch (Exception e) {
logger.error("获取time index失败", e);
}
return index;
}
private Double getDiffPercent(long diff, long base) {
try {
return BigDecimal.valueOf((float) diff / base).setScale(4, BigDecimal.ROUND_HALF_UP).doubleValue();
} catch (Exception e) {
logger.info("当前阈值为0,进行下一阈值条件判断", e);
return 0.0;
}
}
private Severity judgeSeverity(double diffPercent) {
if (diffPercent >= configuration.get(BASELINE_SESSIONS_MINOR_THRESHOLD) && diffPercent < configuration.get(BASELINE_SESSIONS_WARNING_THRESHOLD)) {
return Severity.MINOR;
} else if (diffPercent >= configuration.get(BASELINE_SESSIONS_WARNING_THRESHOLD) && diffPercent < configuration.get(BASELINE_SESSIONS_MAJOR_THRESHOLD)) {
return Severity.WARNING;
} else if (diffPercent >= configuration.get(BASELINE_SESSIONS_MAJOR_THRESHOLD) && diffPercent < configuration.get(BASELINE_SESSIONS_SEVERE_THRESHOLD)) {
return Severity.MAJOR;
} else if (diffPercent >= configuration.get(BASELINE_SESSIONS_SEVERE_THRESHOLD) && diffPercent < configuration.get(BASELINE_SESSIONS_CRITICAL_THRESHOLD)) {
return Severity.SEVERE;
} else if (diffPercent >= configuration.get(BASELINE_SESSIONS_CRITICAL_THRESHOLD)) {
return Severity.CRITICAL;
} else {
return Severity.NORMAL;
}
}
private enum Severity {
/**
* 判断严重程度枚举类型
*/
CRITICAL("Critical"),
SEVERE("Severe"),
MAJOR("Major"),
WARNING("Warning"),
MINOR("Minor"),
NORMAL("Normal");
private final String severity;
@Override
public String toString() {
return this.severity;
}
Severity(String severity) {
this.severity = severity;
}
}
}

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package com.zdjizhi.function;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONObject;
import com.geedgenetworks.utils.StringUtil;
import com.zdjizhi.common.DosMetricsLog;
import com.zdjizhi.common.DosSketchLog;
import com.zdjizhi.common.pojo.DosSketchMetricsLog;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.common.functions.RichFlatMapFunction;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.util.Collector;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.HashMap;
import java.util.Map;
import static com.zdjizhi.conf.DosConfigs.DESTINATION_IP_PARTITION_NUM;
import static com.zdjizhi.conf.DosConfigs.FLINK_WINDOW_MAX_TIME;
public class DosMetricsRichFunction extends RichFlatMapFunction<DosSketchLog, String> {
private static final Logger logger = LoggerFactory.getLogger(DosMetricsRichFunction.class);
private Configuration configuration;
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
configuration = (Configuration) getRuntimeContext()
.getExecutionConfig().getGlobalJobParameters();
}
@Override
public void flatMap(DosSketchLog dosSketchLog, Collector<String> out) throws Exception {
try {
if(dosSketchLog.getRule_id()==0) {
DosMetricsLog dosMetricsLog = new DosMetricsLog();
dosMetricsLog.setSketch_start_time(dosSketchLog.getStart_timestamp_ms() / 1000);
dosMetricsLog.setDestination_ip(dosSketchLog.getServer_ip());
dosMetricsLog.setAttack_type(dosSketchLog.getAttack_type());
dosMetricsLog.setSession_rate(dosSketchLog.getSession_rate());
dosMetricsLog.setPacket_rate(dosSketchLog.getPacket_rate());
dosMetricsLog.setBit_rate(dosSketchLog.getBit_rate());
dosMetricsLog.setVsys_id(dosSketchLog.getVsys_id());
dosMetricsLog.setPartition_num(getPartitionNumByIp(dosSketchLog.getServer_ip()));
String jsonString = JSON.toJSONString(dosMetricsLog);
logger.debug("metric 结果已加载:{}", jsonString);
out.collect(jsonString);
}
} catch (Exception e) {
logger.error("数据解析错误:", e);
}
}
private long timeFloor(long sketchStartTime) {
return sketchStartTime / configuration.get(FLINK_WINDOW_MAX_TIME) * configuration.get(FLINK_WINDOW_MAX_TIME);
}
private int getPartitionNumByIp(String destinationIp) {
return Math.abs(destinationIp.hashCode()) % configuration.get(DESTINATION_IP_PARTITION_NUM);
}
}

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package com.zdjizhi.function;
import com.alibaba.fastjson2.JSONObject;
import com.geedgenetworks.utils.StringUtil;
import com.zdjizhi.common.DosSketchLog;
import com.zdjizhi.common.pojo.DosSketchMetricsLog;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.util.Collector;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
public class FlatSketchFunction implements FlatMapFunction<String, DosSketchLog> {
private static Logger logger = LoggerFactory.getLogger(FlatSketchFunction.class);
@Override
public void flatMap(String value, Collector<DosSketchLog> out) {
try {
if (StringUtil.isNotBlank(value)) {
DosSketchLog dosSketchLog = new DosSketchLog();
dosSketchLog.setRecv_time(System.currentTimeMillis()/1000);
DosSketchMetricsLog dosSketchMetricsLog = JSONObject.parseObject(value, DosSketchMetricsLog.class);
dosSketchLog.setVsys_id(Integer.parseInt(dosSketchMetricsLog.getTags().getOrDefault("vsys_id", "1")));
dosSketchLog.setServer_ip(dosSketchMetricsLog.getTags().getOrDefault("server_ip", "").trim());
dosSketchLog.setDecoded_as(dosSketchMetricsLog.getTags().getOrDefault("decoded_as", "").trim());
dosSketchLog.setDuration(Long.parseLong(dosSketchMetricsLog.getTags().getOrDefault("duration","60000")));
dosSketchLog.setTimestamp_ms(dosSketchMetricsLog.getTimestamp_ms());
dosSketchLog.setStart_timestamp_ms(dosSketchMetricsLog.getTimestamp_ms());
dosSketchLog.setEnd_timestamp_ms(dosSketchMetricsLog.getTimestamp_ms() + dosSketchLog.getDuration());
dosSketchLog.setClient_ip(dosSketchMetricsLog.getTags().getOrDefault("client_ip", "").trim());
dosSketchLog.setData_center(dosSketchMetricsLog.getTags().getOrDefault("data_center", "").trim());
dosSketchLog.setDevice_id(dosSketchMetricsLog.getTags().getOrDefault("device_id", "").trim());
dosSketchLog.setDevice_group(dosSketchMetricsLog.getTags().getOrDefault("device_group", "").trim());
dosSketchLog.setServer_country(dosSketchMetricsLog.getTags().getOrDefault("server_country", "").trim());
dosSketchLog.setClient_country(dosSketchMetricsLog.getTags().getOrDefault("client_country", "").trim());
dosSketchLog.setRule_id(Integer.parseInt(dosSketchMetricsLog.getTags().getOrDefault("rule_id", "0")));
dosSketchLog.setName(dosSketchMetricsLog.getTags().getOrDefault("name", ""));
HashSet<String> client_ips = new HashSet<>();
HashSet<String> client_countrys = new HashSet<>();
dosSketchLog.setClient_ips(client_ips);
dosSketchLog.setClient_countrys(client_countrys);
if("top_client_and_server_ip".equals(dosSketchMetricsLog.getName())){
dosSketchLog.setPkts(dosSketchMetricsLog.getFields().getOrDefault("pkts",0L));
dosSketchLog.setBytes(dosSketchMetricsLog.getFields().getOrDefault("bytes",0L));
dosSketchLog.setSessions(dosSketchMetricsLog.getFields().getOrDefault("sessions",0L));
client_ips.add(dosSketchLog.getClient_ip());
if(!dosSketchLog.getClient_country().isEmpty()) {
client_countrys.add(dosSketchLog.getClient_country());
}
}
else if("top_client_ip_and_server_ip".equals(dosSketchMetricsLog.getName())){
dosSketchLog.setPkts(0);
dosSketchLog.setBytes(0);
dosSketchLog.setSessions(0);
client_ips.add(dosSketchLog.getClient_ip());
if(!dosSketchLog.getClient_country().isEmpty()) {
client_countrys.add(dosSketchLog.getClient_country());
}
}
else {
dosSketchLog.setPkts(dosSketchMetricsLog.getFields().getOrDefault("pkts",0L));
dosSketchLog.setBytes(dosSketchMetricsLog.getFields().getOrDefault("bytes",0L));
dosSketchLog.setSessions(dosSketchMetricsLog.getFields().getOrDefault("sessions",0L));
}
out.collect(dosSketchLog);
}
} catch (Exception e) {
logger.error("数据解析错误:{} \n{}", value, e);
}
}
}

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package com.zdjizhi.function;
import com.zdjizhi.common.DosSketchLog;
import org.apache.flink.api.common.functions.ReduceFunction;
public class MetricsAggregationReduce implements ReduceFunction<DosSketchLog> {
@Override
public DosSketchLog reduce(DosSketchLog value1, DosSketchLog value2) throws Exception {
value1.setPkts(value1.getPkts() + value2.getPkts());
value1.setBytes(value1.getBytes() + value2.getBytes());
value1.setSessions(value1.getSessions() + value2.getSessions());
if (value1.getRecv_time() > value2.getRecv_time()) {
value1.setRecv_time(value2.getRecv_time());
}
if (value1.getStart_timestamp_ms() > value2.getStart_timestamp_ms()) {
value1.setStart_timestamp_ms(value2.getStart_timestamp_ms());
}
if (value1.getEnd_timestamp_ms() < value2.getEnd_timestamp_ms()) {
value1.setEnd_timestamp_ms(value2.getEnd_timestamp_ms());
}
value1.getClient_ips().addAll(value2.getClient_ips());
value1.getClient_countrys().addAll(value2.getClient_countrys());
return value1;
}
}

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package com.zdjizhi.function;
import com.zdjizhi.common.DosSketchLog;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.api.java.tuple.Tuple4;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.HashMap;
import java.util.Map;
public class MetricsCalculate extends ProcessWindowFunction<
DosSketchLog, // 输入类型
DosSketchLog, // 输出类型
Tuple4<String, String, Integer, Integer>, // 键类型
TimeWindow> { // 窗口类型
private final Map<String, String> attackTypeMapping = new HashMap<>();
private static Logger logger = LoggerFactory.getLogger(MetricsCalculate.class);
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
attackTypeMapping.put("TCP SYN","TCP SYN Flood");
attackTypeMapping.put("DNS","UDP Flood");
attackTypeMapping.put("ICMP","ICMP Flood");
attackTypeMapping.put("UDP","DNS Flood");
attackTypeMapping.put("NTP","NTP Flood");
attackTypeMapping.put("","Custom Network Attack");
}
@Override
public void process(Tuple4<String, String, Integer, Integer> key, ProcessWindowFunction<DosSketchLog, DosSketchLog, Tuple4<String, String, Integer,Integer>, TimeWindow>.Context context, Iterable<DosSketchLog> elements, Collector<DosSketchLog> out) throws Exception {
for (DosSketchLog dosSketchLog: elements){
try {
long duration = dosSketchLog.getEnd_timestamp_ms()-dosSketchLog.getStart_timestamp_ms();
if(duration<=0){
duration = dosSketchLog.getDuration();
dosSketchLog.setEnd_timestamp_ms(dosSketchLog.getStart_timestamp_ms()+duration);
}
dosSketchLog.setSession_rate(dosSketchLog.getSessions()/ (duration/1000) );
dosSketchLog.setPacket_rate(dosSketchLog.getPkts()/(duration/1000));
dosSketchLog.setBit_rate(dosSketchLog.getBytes()*8/(duration/1000));
dosSketchLog.setAttack_type(attackTypeMapping.getOrDefault(dosSketchLog.getDecoded_as(),""));
}catch (RuntimeException e){
logger.error(e.toString());
}
out.collect(dosSketchLog);
}
}
}

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package com.zdjizhi.function;
import com.zdjizhi.common.DosSketchLog;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.api.java.tuple.Tuple4;
public class SketchKeysSelector implements KeySelector<DosSketchLog, Tuple4<String, String, Integer,Integer>> {
@Override
public Tuple4<String, String, Integer,Integer> getKey(DosSketchLog dosSketchLog){
return Tuple4.of(
dosSketchLog.getDecoded_as(),
dosSketchLog.getServer_ip(),
dosSketchLog.getVsys_id(),
dosSketchLog.getRule_id());
}
}

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@@ -1,11 +1,84 @@
package com.zdjizhi.main;
import com.zdjizhi.sink.OutputStreamSink;
import com.alibaba.fastjson2.JSONObject;
import com.zdjizhi.common.DosEventLog;
import com.zdjizhi.common.DosMetricsLog;
import com.zdjizhi.common.DosSketchLog;
import com.zdjizhi.conf.DosConfiguration;
import com.zdjizhi.function.*;
import com.zdjizhi.utils.connections.kafka.KafkaConsumer;
import com.zdjizhi.utils.connections.kafka.KafkaProducer;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.configuration.RestOptions;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import java.time.Duration;
import java.util.Objects;
import static com.zdjizhi.conf.DosConfigs.*;
/**
* @author wangchengcheng
* 程序主类入口
*/
public class DosDetectionApplication {
public static void main(String[] args) {
OutputStreamSink.finalOutputSink();
}
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
// param check
if (args.length < 1) {
throw new IllegalArgumentException("Error: Not found properties path. " +
"\nUsage: flink -c xxx xxx.jar app.properties.");
}
final ParameterTool tool = ParameterTool.fromPropertiesFile(args[0]);
final Configuration config = tool.getConfiguration();
env.getConfig().setGlobalJobParameters(config);
final DosConfiguration DosConfiguration = new DosConfiguration(config);
//Source settings
final DataStreamSource<String> dosStreamSource = env.addSource(KafkaConsumer.getKafkaConsumer(config.get(SOURCE_KAFKA_TOPIC), DosConfiguration
.getProperties(SOURCE_KAFKA_PROPERTIES_PREFIX))).setParallelism(config.get(SOURCE_PARALLELISM));
//Watermark settings
WatermarkStrategy<DosSketchLog> dosSketchLogWatermarkStrategy = WatermarkStrategy.
<DosSketchLog>forBoundedOutOfOrderness(Duration.ofSeconds(config.get(FLINK_WATERMARK_MAX_ORDERNESS)))
.withTimestampAssigner((event, timestamp) -> event.getTimestamp_ms() );
//Data preprocessing
SingleOutputStreamOperator<DosSketchLog> sketchSource = dosStreamSource.flatMap(new FlatSketchFunction()).setParallelism(1)
.assignTimestampsAndWatermarks(dosSketchLogWatermarkStrategy);
SingleOutputStreamOperator<DosSketchLog> serverIpMetrics=sketchSource.keyBy(new SketchKeysSelector())
.window(TumblingEventTimeWindows.of(Time.seconds(config.get(FLINK_WINDOW_MAX_TIME)))).reduce(new MetricsAggregationReduce(), new MetricsCalculate())
.setParallelism(config.get(Flink_FIRST_AGG_PATALLELISM));
//dos detection
SingleOutputStreamOperator<DosEventLog> dosEventLogOutputStream = serverIpMetrics.process(new DosDetectionFunction())
.setParallelism(config.get(FLINK_DETECTION_MAP_PARALLELISM));
SingleOutputStreamOperator<String> dosMetricsLogOutputStream = serverIpMetrics.flatMap(new DosMetricsRichFunction())
.setParallelism(config.get(FLINK_DETECTION_MAP_PARALLELISM));
dosMetricsLogOutputStream.addSink(KafkaProducer.getKafkaProducer(config.get(KAFKA_SINK_METRIC_TOPIC), DosConfiguration.getProperties(SINK_KAFKA_PROPERTIES_PREFIX)))
.setParallelism(config.get(KAFKA_SINK_METRIC_PARALLELISM));
//dos event output
dosEventLogOutputStream.filter(Objects::nonNull)
.map(JSONObject::toJSONString)
.addSink(KafkaProducer.getKafkaProducer(config.get(KAFKA_SINK_EVENT_TOPIC), DosConfiguration.getProperties(SINK_KAFKA_PROPERTIES_PREFIX)))
.setParallelism(config.get(KAFKA_SINK_EVENT_PARALLELISM));
env.execute(config.get(JOB_NAME));
}
}

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package com.zdjizhi.sink;
import com.zdjizhi.common.CommonConfig;
import com.zdjizhi.common.DosEventLog;
import com.zdjizhi.utils.JsonMapper;
import com.zdjizhi.utils.KafkaUtils;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
class DosEventSink {
static void dosEventOutputSink(SingleOutputStreamOperator<DosEventLog> dosEventLogOutputStream){
dosEventLogOutputStream.map(JsonMapper::toJsonString).addSink(KafkaUtils.getKafkaSink(CommonConfig.KAFKA_OUTPUT_EVENT_TOPIC_NAME))
.setParallelism(CommonConfig.KAFKA_OUTPUT_EVENT_PARALLELISM);
}
}

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@@ -1,138 +0,0 @@
package com.zdjizhi.sink;
import com.zdjizhi.common.CommonConfig;
import com.zdjizhi.common.DosEventLog;
import com.zdjizhi.common.DosMetricsLog;
import com.zdjizhi.common.DosSketchLog;
import com.zdjizhi.etl.EtlProcessFunction;
import com.zdjizhi.etl.DosDetection;
import com.zdjizhi.etl.ParseSketchLog;
import com.zdjizhi.source.BaselineSource;
import com.zdjizhi.utils.FlinkEnvironmentUtils;
import org.apache.commons.lang.StringUtils;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.tuple.Tuple4;
import org.apache.flink.api.java.typeutils.MapTypeInfo;
import org.apache.flink.streaming.api.datastream.*;
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.util.OutputTag;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.*;
/**
* @author 94976
*/
public class OutputStreamSink {
private static final Logger logger = LoggerFactory.getLogger(OutputStreamSink.class);
public static OutputTag<DosMetricsLog> outputTag = new OutputTag<DosMetricsLog>("traffic server ip metrics"){};
private static MapStateDescriptor<String, Map<String, Map<String, List<Integer>>>> descriptor = new MapStateDescriptor<>("boradcast-state",
Types.STRING,
new MapTypeInfo<>(String.class, new MapTypeInfo<>(String.class, (Class<List<Integer>>) (Class<?>) List.class).getTypeClass()));
public static void finalOutputSink(){
try {
SingleOutputStreamOperator<DosSketchLog> middleStream = getMiddleStream();
SingleOutputStreamOperator<DosEventLog> dosEventLogOutputStream = getOutputSinkStream(middleStream);
DosEventSink.dosEventOutputSink(dosEventLogOutputStream);
TrafficServerIpMetricsSink.sideOutputMetricsSink(middleStream);
FlinkEnvironmentUtils.streamExeEnv.execute(CommonConfig.STREAM_EXECUTION_JOB_NAME);
} catch (Exception e) {
logger.error("任务启动失败 {}",e);
}
}
public static void main(String[] args) throws Exception {
SingleOutputStreamOperator<DosSketchLog> middleStream = getMiddleStream();
SingleOutputStreamOperator<DosEventLog> dosEventLogOutputStream = getOutputSinkStream(middleStream);
DosEventSink.dosEventOutputSink(dosEventLogOutputStream);
TrafficServerIpMetricsSink.sideOutputMetricsSink(middleStream);
dosEventLogOutputStream.print();
FlinkEnvironmentUtils.streamExeEnv.execute();
}
private static SingleOutputStreamOperator<DosEventLog> getOutputSinkStream(SingleOutputStreamOperator<DosSketchLog> middleStream){
BroadcastStream<Map<String, Map<String,List<Integer>>>> broadcast = FlinkEnvironmentUtils.streamExeEnv
.addSource(new BaselineSource())
.setParallelism(CommonConfig.HBASE_INPUT_PARALLELISM)
.broadcast(descriptor);
logger.info("广播变量加载成功!!");
return middleStream.keyBy(new SecondKeySelector())
// .window(TumblingEventTimeWindows.of(Time.seconds(CommonConfig.FLINK_WINDOW_MAX_TIME)))
.reduce(new SecondReduceFunc())
.connect(broadcast)
.process(new DosDetection())
.setParallelism(CommonConfig.FLINK_SECOND_AGG_PARALLELISM);
}
private static SingleOutputStreamOperator<DosSketchLog> getMiddleStream(){
return ParseSketchLog.getSketchSource()
.keyBy(new FirstKeySelector())
.window(TumblingEventTimeWindows.of(Time.seconds(CommonConfig.FLINK_WINDOW_MAX_TIME)))
.process(new EtlProcessFunction())
.setParallelism(CommonConfig.FLINK_FIRST_AGG_PARALLELISM);
}
private static String groupUniqSourceIp(String sourceIp1,String sourceIp2){
HashSet<String> sourceIpSet = new HashSet<>();
Collections.addAll(sourceIpSet, (sourceIp1 + "," + sourceIp2).split(","));
if (sourceIpSet.size() > CommonConfig.SOURCE_IP_LIST_LIMIT){
return StringUtils.join(takeUniqLimit(sourceIpSet,CommonConfig.SOURCE_IP_LIST_LIMIT),",");
}
return StringUtils.join(sourceIpSet,",");
}
private static<T> Collection<T> takeUniqLimit(Collection<T> collection, int limit){
int i =0;
Collection<T> newSet = new HashSet<>();
for (T t:collection){
if (i < limit){
newSet.add(t);
i += 1;
}
}
return newSet;
}
private static class FirstKeySelector implements KeySelector<DosSketchLog, Tuple4<String, String, String, String>>{
@Override
public Tuple4<String, String, String, String> getKey(DosSketchLog dosSketchLog) throws Exception {
return Tuple4.of(
dosSketchLog.getCommon_sled_ip(),
dosSketchLog.getCommon_data_center(),
dosSketchLog.getAttack_type(),
dosSketchLog.getDestination_ip());
}
}
private static class SecondKeySelector implements KeySelector<DosSketchLog, Tuple2<String, String>> {
@Override
public Tuple2<String, String> getKey(DosSketchLog dosSketchLog) throws Exception {
return Tuple2.of(
dosSketchLog.getAttack_type(),
dosSketchLog.getDestination_ip());
}
}
private static class SecondReduceFunc implements ReduceFunction<DosSketchLog> {
@Override
public DosSketchLog reduce(DosSketchLog value1, DosSketchLog value2) throws Exception {
value1.setSketch_sessions((value1.getSketch_sessions()+value2.getSketch_sessions())/2);
value1.setSketch_bytes((value1.getSketch_bytes()+value2.getSketch_bytes())/2);
value1.setSketch_packets((value1.getSketch_packets()+value2.getSketch_packets())/2);
value1.setSource_ip(groupUniqSourceIp(value1.getSource_ip(),value2.getSource_ip()));
return value1;
}
}
}

View File

@@ -1,21 +0,0 @@
package com.zdjizhi.sink;
import com.zdjizhi.common.CommonConfig;
import com.zdjizhi.common.DosMetricsLog;
import com.zdjizhi.common.DosSketchLog;
import com.zdjizhi.utils.JsonMapper;
import com.zdjizhi.utils.KafkaUtils;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import static com.zdjizhi.sink.OutputStreamSink.outputTag;
class TrafficServerIpMetricsSink {
static void sideOutputMetricsSink(SingleOutputStreamOperator<DosSketchLog> outputStream){
DataStream<DosMetricsLog> sideOutput = outputStream.getSideOutput(outputTag);
sideOutput.map(JsonMapper::toJsonString).addSink(KafkaUtils.getKafkaSink(CommonConfig.KAFKA_OUTPUT_METRIC_TOPIC_NAME))
.setParallelism(CommonConfig.KAFKA_OUTPUT_METRIC_PARALLELISM);
}
}

View File

@@ -1,128 +0,0 @@
package com.zdjizhi.source;
import com.zdjizhi.common.CommonConfig;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.RichSourceFunction;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HConstants;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.ArrayWritable;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Writable;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.ByteArrayInputStream;
import java.io.DataInputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* @author wlh
*/
public class BaselineSource extends RichSourceFunction<Map<String, Map<String,List<Integer>>>> {
private static final Logger logger = LoggerFactory.getLogger(BaselineSource.class);
private Connection conn = null;
private Table table = null;
private Scan scan = null;
@Override
public void open(Configuration parameters) throws Exception {
org.apache.hadoop.conf.Configuration config = HBaseConfiguration.create();
config.set("hbase.zookeeper.quorum", CommonConfig.HBASE_ZOOKEEPER_QUORUM);
config.set("hbase.client.retries.number", "3");
config.set("hbase.bulkload.retries.number", "3");
config.set("zookeeper.recovery.retry", "3");
config.setInt(HConstants.HBASE_CLIENT_OPERATION_TIMEOUT, CommonConfig.HBASE_CLIENT_OPERATION_TIMEOUT);
config.setInt(HConstants.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD, CommonConfig.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD);
TableName tableName = TableName.valueOf(CommonConfig.HBASE_BASELINE_TABLE_NAME);
conn = ConnectionFactory.createConnection(config);
table = conn.getTable(tableName);
scan = new Scan().setAllowPartialResults(true).setLimit(CommonConfig.HBASE_BASELINE_TOTAL_NUM);
logger.info("连接hbase成功正在读取baseline数据");
// .addFamily(Bytes.toBytes(CommonConfig.HBASE_BASELINE_FAMLIY_NAME));
}
@Override
public void close() throws Exception {
super.close();
}
@Override
public void run(SourceContext<Map<String, Map<String,List<Integer>>>> sourceContext) throws Exception {
logger.info("开始读取baseline数据");
ResultScanner rs = table.getScanner(scan);
// Map<String, List<Integer>[]> baselineMap = new HashMap<>();
Map<String, Map<String,List<Integer>>> baselineMap = new HashMap<>();
for (Result result : rs) {
Map<String, List<Integer>> floodTypeMap = new HashMap<>();
String rowkey = Bytes.toString(result.getRow());
ArrayList<Integer> tcp = getArraylist(result,"TCP SYN Flood", "session_num");
ArrayList<Integer> udp = getArraylist(result,"UDP Flood", "session_num");
ArrayList<Integer> icmp = getArraylist(result,"ICMP Flood", "session_num");
ArrayList<Integer> dns = getArraylist(result,"DNS Amplification", "session_num");
floodTypeMap.put("TCP SYN Flood",tcp);
floodTypeMap.put("UDP Flood",udp);
floodTypeMap.put("ICMP Flood",icmp);
floodTypeMap.put("DNS Amplification",dns);
// List[] arr = new ArrayList[]{tcp,udp,icmp,dns};
baselineMap.put(rowkey,floodTypeMap);
}
sourceContext.collect(baselineMap);
logger.info("格式化baseline数据成功读取IP共{}",baselineMap.size());
}
private static ArrayList<Integer> getArraylist(Result result,String family,String qualifier) throws IOException {
if (!result.containsColumn(Bytes.toBytes(family), Bytes.toBytes(qualifier))){
return null;
}
ArrayWritable w = new ArrayWritable(IntWritable.class);
w.readFields(new DataInputStream(new ByteArrayInputStream(result.getValue(Bytes.toBytes(family), Bytes.toBytes(qualifier)))));
return fromWritable(w);
}
private static ArrayList<Integer> fromWritable(ArrayWritable writable) {
Writable[] writables = writable.get();
ArrayList<Integer> list = new ArrayList<>(writables.length);
for (Writable wrt : writables) {
list.add(((IntWritable)wrt).get());
}
return list;
}
@Override
public void cancel() {
try {
if (table != null) {
table.close();
}
if (conn != null) {
conn.close();
}
} catch (IOException e) {
e.printStackTrace();
}
}
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.enableCheckpointing(5000);
DataStreamSource<Map<String, Map<String,List<Integer>>>> mapDataStreamSource = env.addSource(new BaselineSource());
DataStream<Map<String, Map<String,List<Integer>>>> broadcast = mapDataStreamSource.broadcast();
mapDataStreamSource.print();
env.execute();
}
}

View File

@@ -1,26 +0,0 @@
package com.zdjizhi.source;
import com.zdjizhi.common.CommonConfig;
import com.zdjizhi.utils.FlinkEnvironmentUtils;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import java.util.Properties;
public class DosSketchSource {
private static StreamExecutionEnvironment streamExeEnv = FlinkEnvironmentUtils.streamExeEnv;
public static DataStreamSource<String> createDosSketchSource(){
Properties properties = new Properties();
properties.setProperty("bootstrap.servers", CommonConfig.KAFKA_INPUT_BOOTSTRAP_SERVERS);
properties.setProperty("group.id", CommonConfig.KAFKA_GROUP_ID);
return streamExeEnv.addSource(new FlinkKafkaConsumer<String>(
CommonConfig.KAFKA_INPUT_TOPIC_NAME,
new SimpleStringSchema(), properties))
.setParallelism(CommonConfig.KAFKA_INPUT_PARALLELISM);
}
}

View File

@@ -1,45 +0,0 @@
package com.zdjizhi.utils;
import java.util.Properties;
public final class CommonConfigurations {
private static Properties propService = new Properties();
public static String getStringProperty(String key) {
return propService.getProperty(key);
}
public static Integer getIntProperty(String key) {
return Integer.parseInt(propService.getProperty(key));
}
public static Double getDoubleProperty(String key) {
return Double.parseDouble(propService.getProperty(key));
}
public static Long getLongProperty(String key) {
return Long.parseLong(propService.getProperty(key));
}
public static Boolean getBooleanProperty(Integer type, String key) {
return "true".equals(propService.getProperty(key).toLowerCase().trim());
}
static {
try {
propService.load(CommonConfigurations.class.getClassLoader().getResourceAsStream("common.properties"));
} catch (Exception e) {
propService = null;
}
}
}

View File

@@ -1,199 +0,0 @@
package com.zdjizhi.utils;
import org.apache.zookeeper.*;
import org.apache.zookeeper.data.Stat;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;
public class DistributedLock implements Lock, Watcher {
private static final Logger logger = LoggerFactory.getLogger(DistributedLock.class);
private ZooKeeper zk = null;
/**
* 根节点
*/
private final String ROOT_LOCK = "/locks";
/**
* 竞争的资源
*/
private String lockName;
/**
* 等待的前一个锁
*/
private String waitLock;
/**
* 当前锁
*/
private String currentLock;
/**
* 计数器
*/
private CountDownLatch countDownLatch;
private int sessionTimeout = 2000;
private List<Exception> exceptionList = new ArrayList<Exception>();
/**
* 配置分布式锁
*
* @param config 连接的url
* @param lockName 竞争资源
*/
public DistributedLock(String config, String lockName) {
this.lockName = lockName;
try {
// 连接zookeeper
zk = new ZooKeeper(config, sessionTimeout, this);
Stat stat = zk.exists(ROOT_LOCK, false);
if (stat == null) {
// 如果根节点不存在,则创建根节点
zk.create(ROOT_LOCK, new byte[0], ZooDefs.Ids.OPEN_ACL_UNSAFE, CreateMode.PERSISTENT);
}
} catch (IOException | InterruptedException | KeeperException e) {
logger.error("Node already exists!");
}
}
/**
* 节点监视器
*/
@Override
public void process(WatchedEvent event) {
if (this.countDownLatch != null) {
this.countDownLatch.countDown();
}
}
@Override
public void lock() {
if (exceptionList.size() > 0) {
throw new LockException(exceptionList.get(0));
}
try {
if (this.tryLock()) {
logger.info(Thread.currentThread().getName() + " " + lockName + "获得了锁");
} else {
// 等待锁
waitForLock(waitLock, sessionTimeout);
}
} catch (InterruptedException | KeeperException e) {
logger.error("获取锁异常" + e);
}
}
@Override
public boolean tryLock() {
try {
String splitStr = "_lock_";
if (lockName.contains(splitStr)) {
throw new LockException("锁名有误");
}
// 创建临时有序节点
currentLock = zk.create(ROOT_LOCK + "/" + lockName + splitStr, new byte[0],
ZooDefs.Ids.OPEN_ACL_UNSAFE, CreateMode.EPHEMERAL_SEQUENTIAL);
// 取所有子节点
List<String> subNodes = zk.getChildren(ROOT_LOCK, false);
// 取出所有lockName的锁
List<String> lockObjects = new ArrayList<String>();
for (String node : subNodes) {
String tmpNode = node.split(splitStr)[0];
if (tmpNode.equals(lockName)) {
lockObjects.add(node);
}
}
Collections.sort(lockObjects);
// 若当前节点为最小节点,则获取锁成功
if (currentLock.equals(ROOT_LOCK + "/" + lockObjects.get(0))) {
return true;
}
// 若不是最小节点,则找到自己的前一个节点
String prevNode = currentLock.substring(currentLock.lastIndexOf("/") + 1);
waitLock = lockObjects.get(Collections.binarySearch(lockObjects, prevNode) - 1);
} catch (InterruptedException | KeeperException e) {
logger.error("获取锁过程异常" + e);
}
return false;
}
@Override
public boolean tryLock(long timeout, TimeUnit unit) {
try {
if (this.tryLock()) {
return true;
}
return waitForLock(waitLock, timeout);
} catch (KeeperException | InterruptedException | RuntimeException e) {
logger.error("判断是否锁定异常" + e);
}
return false;
}
/**
* 等待锁
*
* @param prev 锁名称
* @param waitTime 等待时间
* @return
* @throws KeeperException
* @throws InterruptedException
*/
private boolean waitForLock(String prev, long waitTime) throws KeeperException, InterruptedException {
Stat stat = zk.exists(ROOT_LOCK + "/" + prev, true);
if (stat != null) {
this.countDownLatch = new CountDownLatch(1);
// 计数等待若等到前一个节点消失则precess中进行countDown停止等待获取锁
this.countDownLatch.await(waitTime, TimeUnit.MILLISECONDS);
this.countDownLatch = null;
}
return true;
}
@Override
public void unlock() {
try {
zk.delete(currentLock, -1);
currentLock = null;
zk.close();
} catch (InterruptedException | KeeperException e) {
logger.error("关闭锁异常" + e);
}
}
@Override
public Condition newCondition() {
return null;
}
@Override
public void lockInterruptibly() throws InterruptedException {
this.lock();
}
public class LockException extends RuntimeException {
private static final long serialVersionUID = 1L;
public LockException(String e) {
super(e);
}
public LockException(Exception e) {
super(e);
}
}
}

View File

@@ -1,28 +0,0 @@
package com.zdjizhi.utils;
import com.zdjizhi.common.CommonConfig;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
/**
* @author wlh
*/
public class FlinkEnvironmentUtils {
public static StreamExecutionEnvironment streamExeEnv = StreamExecutionEnvironment.getExecutionEnvironment();
public static StreamTableEnvironment getStreamTableEnv() {
streamExeEnv.setParallelism(CommonConfig.STREAM_EXECUTION_ENVIRONMENT_PARALLELISM);
EnvironmentSettings settings = EnvironmentSettings.newInstance()
.useBlinkPlanner()
.inStreamingMode()
.build();
return StreamTableEnvironment.create(streamExeEnv, settings);
}
}

View File

@@ -1,5 +0,0 @@
package com.zdjizhi.utils;
public class HbaseUtils {
}

View File

@@ -1,23 +0,0 @@
package com.zdjizhi.utils;
import com.zdjizhi.common.CommonConfig;
public class IpUtils {
/**
* IP定位库工具类
*/
public static IpLookup ipLookup = new IpLookup.Builder(false)
// .loadDataFileV4(CommonConfig.IP_MMDB_PATH + "ip_v4.mmdb")
// .loadDataFileV6(CommonConfig.IP_MMDB_PATH + "ip_v6.mmdb")
.loadDataFilePrivateV4(CommonConfig.IP_MMDB_PATH + "ip_private_v4.mmdb")
// .loadDataFilePrivateV6(CommonConfig.IP_MMDB_PATH + "ip_private_v6.mmdb")
.build();
public static void main(String[] args) {
System.out.println(ipLookup.countryLookup("61.128.159.186"));
}
}

View File

@@ -1,26 +0,0 @@
package com.zdjizhi.utils;
import com.zdjizhi.common.CommonConfig;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
import java.util.Properties;
public class KafkaUtils {
private static Properties getKafkaSinkProperty(){
Properties propertiesproducer = new Properties();
propertiesproducer.setProperty("bootstrap.servers", CommonConfig.KAFKA_OUTPUT_BOOTSTRAP_SERVERS);
return propertiesproducer;
}
public static FlinkKafkaProducer<String> getKafkaSink(String topic){
return new FlinkKafkaProducer<String>(
topic,
new SimpleStringSchema(),
getKafkaSinkProperty()
);
}
}

View File

@@ -1,11 +1,17 @@
package com.zdjizhi.utils;
package com.zdjizhi.utils.Snowflakeld;
import com.zdjizhi.common.CommonConfig;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import org.apache.flink.configuration.Configuration;
import static com.zdjizhi.conf.DosConfigs.DATA_CENTER_ID_NUM;
import static com.zdjizhi.conf.DosConfigs.HBASE_ZOOKEEPER_QUORUM;
public class SnowflakeId {
private static final Logger logger = LoggerFactory.getLogger(SnowflakeId.class);
private static final Log logger = LogFactory.get();
private Configuration configuration;
/**
* 共64位 第一位为符号位 默认0
@@ -86,46 +92,32 @@ public class SnowflakeId {
*/
private long lastTimestamp = -1L;
/**
* 设置允许时间回拨的最大限制10s
*/
private static final long ROLL_BACK_TIME = 10000L;
private static final long rollBackTime = 10000L;
private static SnowflakeId idWorker;
private static ZookeeperUtils zookeeperUtils = new ZookeeperUtils();
static {
idWorker = new SnowflakeId(CommonConfig.HBASE_ZOOKEEPER_QUORUM, CommonConfig.DATA_CENTER_ID_NUM);
}
//==============================Constructors=====================================
/**
* 构造函数
* 初始化雪花ID
*
* @param dataCenterIdNum 数据中心编号
* @param tmpWorkerId worker编号
*/
private SnowflakeId(String zookeeperIp, long dataCenterIdNum) {
DistributedLock lock = new DistributedLock(CommonConfig.HBASE_ZOOKEEPER_QUORUM, "disLocks1");
try {
lock.lock();
int tmpWorkerId = zookeeperUtils.modifyNode("/Snowflake/" + "worker" + dataCenterIdNum, zookeeperIp);
if (tmpWorkerId > maxWorkerId || tmpWorkerId < 0) {
throw new IllegalArgumentException(String.format("worker Id can't be greater than %d or less than 0", maxWorkerId));
}
if (dataCenterIdNum > maxDataCenterId || dataCenterIdNum < 0) {
throw new IllegalArgumentException(String.format("datacenter Id can't be greater than %d or less than ", maxDataCenterId));
}
this.workerId = tmpWorkerId;
this.dataCenterId = dataCenterIdNum;
} catch (RuntimeException e) {
logger.error("This is not usual error!!!===>>>" + e + "<<<===");
}finally {
lock.unlock();
public SnowflakeId(long dataCenterIdNum, long tmpWorkerId) {
if (tmpWorkerId > maxWorkerId || tmpWorkerId < 0) {
throw new IllegalArgumentException(String.format("worker Id can't be greater than %d or less than 0", maxWorkerId));
}
}
if (dataCenterIdNum > maxDataCenterId || dataCenterIdNum < 0) {
throw new IllegalArgumentException(String.format("datacenter Id can't be greater than %d or less than ", maxDataCenterId));
}
this.workerId = tmpWorkerId;
this.dataCenterId = dataCenterIdNum;
}
// ==============================Methods==========================================
/**
@@ -133,10 +125,10 @@ public class SnowflakeId {
*
* @return SnowflakeId
*/
private synchronized long nextId() {
public synchronized long nextId() {
long timestamp = timeGen();
//设置一个允许回拨限制时间系统时间回拨范围在rollBackTime内可以等待校准
if (lastTimestamp - timestamp > 0 && lastTimestamp - timestamp < ROLL_BACK_TIME) {
if (lastTimestamp - timestamp > 0 && lastTimestamp - timestamp < rollBackTime) {
timestamp = tilNextMillis(lastTimestamp);
}
//如果当前时间小于上一次ID生成的时间戳说明系统时钟回退过这个时候应当抛出异常
@@ -193,12 +185,4 @@ public class SnowflakeId {
}
/**
* 静态工具类
*/
public static Long generateId() {
return idWorker.nextId();
}
}

View File

@@ -0,0 +1,90 @@
package com.zdjizhi.utils.Threshold;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.geedgenetworks.utils.DateUtils;
import com.zdjizhi.common.DosBaselineThreshold;
import com.zdjizhi.utils.connections.hbase.HbaseUtils;
import org.apache.flink.configuration.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HConstants;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException;
import java.util.*;
import static com.zdjizhi.conf.DosConfigs.*;
public class ParseBaselineThreshold {
private static final Log logger = LogFactory.get();
private ArrayList<String> floodTypeList = new ArrayList<>();
private Configuration configuration;
private Table table = null;
private Scan scan = null;
public ParseBaselineThreshold(Configuration configuration) {
this.configuration = configuration;
this.floodTypeList.add("TCP SYN Flood");
this.floodTypeList.add("UDP Flood");
this.floodTypeList.add("ICMP Flood");
this.floodTypeList.add("DNS Flood");
}
private void prepareHbaseEnv() throws IOException {
final org.apache.hadoop.conf.Configuration config = HBaseConfiguration.create();
config.set("hbase.zookeeper.quorum", configuration.get(HBASE_ZOOKEEPER_QUORUM));
config.set("hbase.client.retries.number", "3");
config.set("hbase.bulkload.retries.number", "3");
config.set("zookeeper.recovery.retry", "3");
config.set("hbase.defaults.for.version", "2.2.3");
config.set("hbase.defaults.for.version.skip", "true");
config.setInt(HConstants.HBASE_CLIENT_OPERATION_TIMEOUT, configuration.get(HBASE_CLIENT_OPERATION_TIMEOUT));
config.setInt(HConstants.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD, configuration.get(HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD));
TableName tableName = TableName.valueOf(configuration.get(HBASE_BASELINE_TABLE_NAME));
Connection conn = ConnectionFactory.createConnection(config);
table = conn.getTable(tableName);
long currentTimeMillis = System.currentTimeMillis();
scan = new Scan()
.setAllowPartialResults(true)
.setTimeRange(DateUtils.getSomeDate(new Date(currentTimeMillis), Math.negateExact(configuration.get(HBASE_BASELINE_TTL))).getTime(), currentTimeMillis)
.setLimit(configuration.get(HBASE_BASELINE_TOTAL_NUM));
logger.info("连接hbase成功正在读取baseline数据");
}
public Map<String, Map<String, DosBaselineThreshold>> readFromHbase() {
Map<String, Map<String, DosBaselineThreshold>> baselineMap = new HashMap<>();
try {
prepareHbaseEnv();
logger.info("开始读取baseline数据");
ResultScanner rs = table.getScanner(scan);
for (Result result : rs) {
Map<String, DosBaselineThreshold> floodTypeMap = new HashMap<>();
String rowkey = Bytes.toString(result.getRow());
for (String type : floodTypeList) {
DosBaselineThreshold baselineThreshold = new DosBaselineThreshold();
ArrayList<Integer> sessionRate = HbaseUtils.getArraylist(result, type, "session_rate");
if (sessionRate != null && !sessionRate.isEmpty()) {
Integer defaultValue = HbaseUtils.getIntegerValue(result, type, "session_rate_default_value");
Integer rateBaselineType = HbaseUtils.getIntegerValue(result, type, "session_rate_baseline_type");
baselineThreshold.setSession_rate(sessionRate);
baselineThreshold.setSession_rate_default_value(defaultValue);
baselineThreshold.setSession_rate_baseline_type(rateBaselineType);
floodTypeMap.put(type, baselineThreshold);
}
}
baselineMap.put(rowkey, floodTypeMap);
}
logger.info("格式化baseline数据成功读取IP共{}", baselineMap.size());
} catch (Exception e) {
logger.error("读取hbase数据失败", e);
}
return baselineMap;
}
}

View File

@@ -1,135 +0,0 @@
package com.zdjizhi.utils;
import cn.hutool.core.util.StrUtil;
import org.apache.zookeeper.*;
import org.apache.zookeeper.data.ACL;
import org.apache.zookeeper.data.Stat;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.util.List;
import java.util.concurrent.CountDownLatch;
public class ZookeeperUtils implements Watcher {
private static final Logger logger = LoggerFactory.getLogger(ZookeeperUtils.class);
private ZooKeeper zookeeper;
private static final int SESSION_TIME_OUT = 20000;
private CountDownLatch countDownLatch = new CountDownLatch(1);
@Override
public void process(WatchedEvent event) {
if (event.getState() == Event.KeeperState.SyncConnected) {
countDownLatch.countDown();
}
}
/**
* 修改节点信息
*
* @param path 节点路径
*/
int modifyNode(String path, String zookeeperIp) {
createNode(path, "0".getBytes(), ZooDefs.Ids.OPEN_ACL_UNSAFE, zookeeperIp);
int workerId = 0;
try {
connectZookeeper(zookeeperIp);
Stat stat = zookeeper.exists(path, true);
workerId = Integer.parseInt(getNodeDate(path));
if (workerId > 63) {
workerId = 0;
zookeeper.setData(path, "1".getBytes(), stat.getVersion());
} else {
String result = String.valueOf(workerId + 1);
if (stat != null) {
zookeeper.setData(path, result.getBytes(), stat.getVersion());
} else {
logger.error("Node does not exist!,Can't modify");
}
}
} catch (KeeperException | InterruptedException e) {
logger.error("modify error Can't modify," + e);
} finally {
closeConn();
}
logger.warn("workerID is" + workerId);
return workerId;
}
/**
* 连接zookeeper
*
* @param host 地址
*/
private void connectZookeeper(String host) {
try {
zookeeper = new ZooKeeper(host, SESSION_TIME_OUT, this);
countDownLatch.await();
} catch (IOException | InterruptedException e) {
logger.error("Connection to the Zookeeper Exception! message:" + e);
}
}
/**
* 关闭连接
*/
private void closeConn() {
try {
if (zookeeper != null) {
zookeeper.close();
}
} catch (InterruptedException e) {
logger.error("Close the Zookeeper connection Exception! message:" + e);
}
}
/**
* 获取节点内容
*
* @param path 节点路径
* @return 内容/异常null
*/
private String getNodeDate(String path) {
String result = null;
Stat stat = new Stat();
try {
byte[] resByte = zookeeper.getData(path, true, stat);
result = StrUtil.str(resByte, "UTF-8");
} catch (KeeperException | InterruptedException e) {
logger.error("Get node information exception" + e);
}
return result;
}
/**
* @param path 节点创建的路径
* @param date 节点所存储的数据的byte[]
* @param acls 控制权限策略
*/
private void createNode(String path, byte[] date, List<ACL> acls, String zookeeperIp) {
try {
connectZookeeper(zookeeperIp);
Stat exists = zookeeper.exists(path, true);
if (exists == null) {
Stat existsSnowflakeld = zookeeper.exists("/Snowflake", true);
if (existsSnowflakeld == null) {
zookeeper.create("/Snowflake", null, acls, CreateMode.PERSISTENT);
}
zookeeper.create(path, date, acls, CreateMode.PERSISTENT);
} else {
logger.warn("Node already exists ! Don't need to create");
}
} catch (KeeperException | InterruptedException e) {
logger.error(e.toString());
} finally {
closeConn();
}
}
}

View File

@@ -0,0 +1,49 @@
package com.zdjizhi.utils.connections.hbase;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.ArrayWritable;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Writable;
import java.io.ByteArrayInputStream;
import java.io.DataInputStream;
import java.io.IOException;
import java.util.*;
/**
* @author wlh
*/
public class HbaseUtils {
public static Integer getIntegerValue(Result result, String family, String qualifier) {
byte[] value = result.getValue(Bytes.toBytes(family), Bytes.toBytes(qualifier));
if (value != null){
return Bytes.toInt(value);
}
return 1;
}
public static ArrayList<Integer> getArraylist(Result result, String family, String qualifier) throws IOException {
if (containsColumn(result, family, qualifier)) {
ArrayWritable w = new ArrayWritable(IntWritable.class);
w.readFields(new DataInputStream(new ByteArrayInputStream(result.getValue(Bytes.toBytes(family), Bytes.toBytes(qualifier)))));
return fromWritable(w);
}
return null;
}
private static ArrayList<Integer> fromWritable(ArrayWritable writable) {
Writable[] writables = writable.get();
ArrayList<Integer> list = new ArrayList<>(writables.length);
for (Writable wrt : writables) {
list.add(((IntWritable) wrt).get());
}
return list;
}
private static boolean containsColumn(Result result, String family, String qualifier) {
return result.containsColumn(Bytes.toBytes(family), Bytes.toBytes(qualifier));
}
}

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@@ -0,0 +1,28 @@
package com.zdjizhi.utils.connections.kafka;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Properties;
public class KafkaConsumer {
public static FlinkKafkaConsumer<String> getKafkaConsumer(String topics, Properties Properties){
List<String> topicList = new ArrayList<>();
if (topics.contains(",")) {
String[] words = topics.split(",");
topicList.addAll(Arrays.asList(words));
} else {
topicList.add(topics);
}
return new FlinkKafkaConsumer<>(topicList, new SimpleStringSchema(), Properties);
}
}

View File

@@ -0,0 +1,23 @@
package com.zdjizhi.utils.connections.kafka;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
import java.util.Optional;
import java.util.Properties;
public class KafkaProducer {
public static FlinkKafkaProducer<String> getKafkaProducer(String topic, Properties Properties){
FlinkKafkaProducer<String> kafkaProducer = new FlinkKafkaProducer<>(
topic,
new SimpleStringSchema(),
Properties,
Optional.empty()
);
kafkaProducer.setLogFailuresOnly(true);
return kafkaProducer;
}
}

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@@ -0,0 +1,11 @@
package com.zdjizhi.utils.exception;
public class FlowWriteException extends RuntimeException {
public FlowWriteException() {
}
public FlowWriteException(String message) {
super(message);
}
}

View File

@@ -1,41 +0,0 @@
stream.execution.environment.parallelism=1
stream.execution.job.name=dos-detection-job
kafka.input.parallelism=1
kafka.input.topic.name=DOS-SKETCH-LOG
kafka.input.bootstrap.servers=192.168.44.12:9092
kafka.input.scan.startup.mode=latest-offset
kafka.input.group.id=2108041426
#kafka.input.group.id=test
kafka.output.metric.parallelism=1
kafka.output.metric.topic.name=TRAFFIC-TOP-DESTINATION-IP-METRICS-LOG
kafka.output.event.parallelism=1
kafka.output.event.topic.name=DOS-EVENT-LOG
kafka.output.bootstrap.servers=192.168.44.12:9092
hbase.input.parallelism=1
hbase.zookeeper.quorum=192.168.44.12:2181
hbase.client.operation.timeout=30000
hbase.client.scanner.timeout.period=30000
hbase.baseline.table.name=ddos_traffic_baselines
hbase.baseline.total.num=1000000
flink.first.agg.parallelism=1
flink.second.agg.parallelism=1
flink.watermark.max.orderness=1
flink.window.max.time=600
source.ip.list.limit=10000
data.center.id.num=15
ip.mmdb.path=D:\\data\\dat_test\\
#ip.mmdb.path=/home/bigdata/wlh/topology/dos-detection/dat/
baseline.sessions.minor.threshold=0.1
baseline.sessions.warning.threshold=0.5
baseline.sessions.major.threshold=1
baseline.sessions.severe.threshold=3
baseline.sessions.critical.threshold=8

View File

@@ -0,0 +1,45 @@
source.kafka.topic=DOS-SKETCH-METRIC,DOS-PROTECTION-RULE-METRIC
source.kafka.props.bootstrap.servers=192.168.44.11:9094
source.kafka.props.group.id=dos-detection-job-20240402-t1
source.kafka.props.session.timeout.ms=60000
source.kafka.props.max.poll.records=5000
source.kafka.props.max.partition.fetch.bytes=31457280
source.kafka.props.security.protocol=SASL_PLAINTEXT
source.kafka.props.sasl.mechanism=PLAIN
source.kafka.props.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="admin"password="galaxy2019";
#kafka sink
kafka.sink.event.topic.name=DOS-EVENT
kafka.sink.metric.topic=DOS-SKETCH-TOP-SERVER-IP
sink.kafka.props.bootstrap.servers=192.168.44.12:9094
sink.kafka.props.security.protocol=SASL_PLAINTEXT
sink.kafka.props.sasl.mechanism=PLAIN
sink.kafka.props.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="admin" password="galaxy2019";
sink.kafka.props.acks=1
sink.kafka.props.retries=0
sink.kafka.props.linger.ms=10
sink.kafka.props.request.timeout.ms=30000
sink.kafka.props.batch.size=262144
sink.kafka.props.buffer.memory=134217728
sink.kafka.props.max.request.size=10485760
sink.kafka.props.compression.type=snappy
ip.user.defined.kd.id=dasdasdsad
#zookeeper地址
hbase.zookeeper.quorum=192.168.44.12:2181
flink.watermark.max.orderness=30
#计算窗口大小默认600s
flink.window.max.time=600
static.sensitivity.threshold=1
#基线敏感阈值
baseline.sensitivity.threshold=0.2
#基于baseline判定dos攻击的上下限
baseline.sessions.minor.threshold=0.2
baseline.sessions.warning.threshold=1
baseline.sessions.major.threshold=2.5
baseline.sessions.severe.threshold=5
baseline.sessions.critical.threshold=8

View File

@@ -0,0 +1,23 @@
#Log4j
log4j.rootLogger=info,console,file
# 控制台日志设置
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.Threshold=info
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=[%d{yyyy-MM-dd HH\:mm\:ss}] [%-5p] [Thread\:%t] %l %x - <%m>%n
# 文件日志设置
log4j.appender.file=org.apache.log4j.DailyRollingFileAppender
log4j.appender.file.Threshold=info
log4j.appender.file.encoding=UTF-8
log4j.appender.file.Append=true
#路径请用相对路径,做好相关测试输出到应用目下
log4j.appender.file.file=${nis.root}/log/flink-dos-detection.log
log4j.appender.file.DatePattern='.'yyyy-MM-dd
log4j.appender.file.layout=org.apache.log4j.PatternLayout
#log4j.appender.file.layout.ConversionPattern=%d{HH:mm:ss} %X{ip} [%t] %5p %c{1} %m%n
log4j.appender.file.layout.ConversionPattern=[%d{yyyy-MM-dd HH\:mm\:ss}] [%-5p] %X{ip} [Thread\:%t] %l %x - %m%n
#MyBatis 配置com.nis.web.dao是mybatis接口所在包
log4j.logger.com.nis.web.dao=debug
#bonecp数据源配置
log4j.category.com.jolbox=debug,console

View File

@@ -0,0 +1,8 @@
--DosSketchLog
{common_sled_ip='null', common_data_center='null', sketch_start_time=1686277141, sketch_duration=59, attack_type='DNS Flood', source_ip='23.91.128.115', destination_ip='102.219.30.33', sketch_sessions=945, sketch_packets=945, sketch_bytes=446370, vsys_id=23}
{common_sled_ip='null', common_data_center='null', sketch_start_time=1686277205, sketch_duration=86, attack_type='DNS Flood', source_ip='172.217.160.68', destination_ip='10.113.83.88', sketch_sessions=730, sketch_packets=730, sketch_bytes=344575, vsys_id=1}
{common_sled_ip='null', common_data_center='null', sketch_start_time=1686277244, sketch_duration=47, attack_type='DNS Flood', source_ip='45.135.144.112', destination_ip='42.62.192.132', sketch_sessions=0, sketch_packets=0, sketch_bytes=47, vsys_id=1}
--DosDetectionThreshold
{profileId='6091', attackType='DNS Flood', serverIpList=[113.113.83.213, 42.62.192.132/28, 10.113.83.1/25, 102.219.30.33/29], serverIpAddr='null', packetsPerSec=1, bitsPerSec=1, sessionsPerSec=1, isValid=1, vsysId=1, superiorIds=[4, 12, 5, 27]}
{profileId='5679', attackType='DNS Flood', serverIpList=[102.219.30.33], serverIpAddr='null', packetsPerSec=500, bitsPerSec=1000000, sessionsPerSec=100000, isValid=1, vsysId=23, superiorIds=[4, 5]}

View File

@@ -0,0 +1,6 @@
--DosSketchLog
{common_sled_ip='null', common_data_center='null', sketch_start_time=1686277232, sketch_duration=59, attack_type='ICMP Flood', source_ip='45.170.244.25', destination_ip='24.152.57.56', sketch_sessions=499, sketch_packets=499, sketch_bytes=111970, vsys_id=1}
--DosDetectionThreshold
{profileId='6093', attackType='ICMP Flood', serverIpList=[31.131.80.88/29, 24.152.57.56/29, 47.93.59.1/25], serverIpAddr='null', packetsPerSec=210, bitsPerSec=0, sessionsPerSec=0, isValid=1, vsysId=1, superiorIds=[4, 12, 5, 27]}

View File

@@ -0,0 +1,7 @@
--DosSketchLog
{common_sled_ip='null', common_data_center='null', sketch_start_time=1685003938, sketch_duration=63714, attack_type='TCP SYN Flood', source_ip='5.32.144.55', destination_ip='45.188.134.11', sketch_sessions=0, sketch_packets=0, sketch_bytes=4195, vsys_id=1}
{common_sled_ip='null', common_data_center='null', sketch_start_time=1686277234, sketch_duration=57, attack_type='TCP SYN Flood', source_ip='18.65.148.128', destination_ip='23.200.74.224', sketch_sessions=54, sketch_packets=54, sketch_bytes=73427, vsys_id=1}
--DosDetectionThreshold
{profileId='6095', attackType='TCP SYN Flood', serverIpList=[23.200.74.224, 45.188.134.11/29, 41.183.0.15/29, 41.183.0.16/30], serverIpAddr='null', packetsPerSec=1, bitsPerSec=1, sessionsPerSec=1, isValid=1, vsysId=1, superiorIds=[5, 4, 12, 27]}

View File

@@ -0,0 +1,8 @@
--DosSketchLog
{common_sled_ip='null', common_data_center='null', sketch_start_time=1686277291, sketch_duration=0, attack_type='UDP Flood', source_ip='121.14.89.209', destination_ip='192.168.50.11', sketch_sessions=0, sketch_packets=0, sketch_bytes=0, vsys_id=1}
{common_sled_ip='null', common_data_center='null', sketch_start_time=1686277233, sketch_duration=58, attack_type='UDP Flood', source_ip='192.168.50.56,192.168.50.34,192.168.50.11,192.168.50.33,192.168.50.55,192.168.50.58,192.168.50.36,192.168.50.14,192.168.50.35,192.168.50.13,192.168.50.57,192.168.50.30,192.168.50.51,192.168.50.54,192.168.50.10,192.168.50.32,192.168.50.53,192.168.50.31,192.168.50.16,192.168.50.38,192.168.50.15,192.168.50.37,192.168.50.18,192.168.50.17,192.168.50.50,192.168.50.45,192.168.50.23,192.168.50.22,192.168.50.44,192.168.50.25,192.168.50.47,192.168.50.46,192.168.50.24,192.168.50.63,192.168.50.41,192.168.50.40,192.168.50.62,192.168.50.43,192.168.50.21,192.168.50.20,192.168.50.42,192.168.50.27,192.168.50.26,192.168.50.48,192.168.50.28,192.168.50.61,192.168.50.60', destination_ip='121.14.89.209', sketch_sessions=297, sketch_packets=297, sketch_bytes=371404, vsys_id=1}
--DosDetectionThreshold
{profileId='5333', attackType='UDP Flood', serverIpList=[192.168.50.11, 192.168.50.12], serverIpAddr='null', packetsPerSec=50, bitsPerSec=50, sessionsPerSec=50, isValid=1, vsysId=1, superiorIds=[4, 12, 5, 27]}

View File

@@ -19,12 +19,12 @@ public class HbaseTest {
public static void main(String[] args) throws IOException {
org.apache.hadoop.conf.Configuration config = HBaseConfiguration.create();
config.set("hbase.zookeeper.quorum", CommonConfig.HBASE_ZOOKEEPER_QUORUM);
config.set("hbase.client.retries.number", "3");
config.set("hbase.bulkload.retries.number", "3");
config.set("zookeeper.recovery.retry", "3");
config.setInt(HConstants.HBASE_CLIENT_OPERATION_TIMEOUT, CommonConfig.HBASE_CLIENT_OPERATION_TIMEOUT);
config.setInt(HConstants.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD, CommonConfig.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD);
// config.set("hbase.zookeeper.quorum", FlowWriteConfig.HBASE_ZOOKEEPER_QUORUM);
// config.set("hbase.client.retries.number", "3");
// config.set("hbase.bulkload.retries.number", "3");
// config.set("zookeeper.recovery.retry", "3");
// config.setInt(HConstants.HBASE_CLIENT_OPERATION_TIMEOUT, FlowWriteConfig.HBASE_CLIENT_OPERATION_TIMEOUT);
// config.setInt(HConstants.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD, FlowWriteConfig.HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD);
TableName tableName = TableName.valueOf("dos_test");
Connection conn = ConnectionFactory.createConnection(config);

View File

@@ -0,0 +1,7 @@
package com.zdjizhi.common;
public class HttpTest {
public static void main(String[] args) throws Exception {
}
}

View File

@@ -0,0 +1,106 @@
package com.zdjizhi.common;
import inet.ipaddr.Address;
import inet.ipaddr.AddressStringException;
import inet.ipaddr.IPAddress;
import inet.ipaddr.IPAddressString;
import inet.ipaddr.format.util.AddressTrieMap;
import inet.ipaddr.format.util.AssociativeAddressTrie;
import inet.ipaddr.ipv4.IPv4Address;
import inet.ipaddr.ipv4.IPv4AddressAssociativeTrie;
import org.apache.flink.shaded.guava18.com.google.common.collect.Range;
import org.apache.flink.shaded.guava18.com.google.common.collect.TreeRangeMap;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
public class IpTest {
public static void main(String[] args) throws Exception {
IPv4AddressAssociativeTrie<Integer> trie = new IPv4AddressAssociativeTrie<>();
IPAddress str1 = new IPAddressString("1.2.3.4").getAddress();
IPAddress str2 = new IPAddressString("10.0.0.0/15").getAddress();
IPAddress str3 = new IPAddressString("25.4.2.0/23").getAddress();
IPAddress str4 = new IPAddressString("192.168.8.0/21").getAddress();
IPAddress str5 = new IPAddressString("240.0.0.0/4").getAddress();
IPAddress str6 = new IPAddressString("fc00::0/64").getAddress();
IPAddress str7 = new IPAddressString("fc00::10:1").getAddress();
TreeRangeMap<IPAddress, Object> rangeMap = TreeRangeMap.create();
rangeMap.put(Range.closed(str1.getLower(),str1.getUpper()),1);
rangeMap.put(Range.closed(str2.getLower(),str2.getUpper()),2);
rangeMap.put(Range.closed(str3.getLower(),str3.getUpper()),3);
rangeMap.put(Range.closed(str4.getLower(),str4.getUpper()),4);
rangeMap.put(Range.closed(str5.getLower(),str5.getUpper()),5);
rangeMap.put(Range.closed(str6.getLower(),str6.getUpper()),6);
rangeMap.put(Range.closed(str7.getLower(),str7.getUpper()),7);
IPAddress pv4 = new IPAddressString("255.255.14.255").getAddress();
IPAddress pv42 = new IPAddressString("1.2.3.4").getAddress();
IPAddress pv43 = new IPAddressString("fc00::").getAddress();
IPAddress pv44 = new IPAddressString("fc00::10:1").getAddress();
IPAddress pv45 = new IPAddressString("192.168.42.1").getAddress();
IPAddress pv46 = new IPAddressString("192.168.42.1/32").getAddress();
IPAddress pv47 = new IPAddressString("12.56.4.0").getAddress();
IPAddress mask = pv45.getNetwork().getNetworkMask(24, false);
System.out.println(pv45.isMultiple());
System.out.println(pv46.isMultiple());
System.out.println(pv46.isPrefixed());
System.out.println(pv47.isPrefixed());
System.out.println(pv45+"---"+pv45.toMaxHost().withoutPrefixLength()+"---"+pv45.adjustPrefixLength(pv45.getBitCount()));
System.out.println(pv45+"---mask:"+pv45.mask(mask).toString());
System.out.println(pv45.adjustPrefixLength(pv45.getBitCount())+"---"+pv45.toMaxHost().withoutPrefixLength());
/*
System.out.println(str5.getUpper()+"---"+str5.getLower());
System.out.println(rangeMap.span().contains(pv4));
System.out.println(rangeMap.get(pv4));
System.out.println(rangeMap.get(pv42));
System.out.println(rangeMap.get(pv43));
System.out.println(rangeMap.get(pv44));
*/
/*
System.out.println(str5.toSequentialRange());
// System.out.println(str2.contains(new IPAddressString("10.0.0.2")));
// System.out.println(str5.toAddress().toIPv4().toSequentialRange());
trie.put(str1,1);
trie.put(str2,2);
trie.put(str3,3);
trie.put(str4,4);
trie.put(str5,5);
AddressTrieMap<IPv4Address, Integer> trieMap = new AddressTrieMap<>(trie);
trieMap.forEach((k,v) -> {
System.out.println(k.toString() + "--" + v);
});
System.out.println("-----------------");
trie.forEach((k) -> System.out.println(k.toString()));
System.out.println(str5.contains(pv4));
System.out.println(trie.contains(pv4));
System.out.println(trieMap.get(pv4));
System.out.println(trieMap.containsKey(pv4));
// System.out.println(trieMap.getRange());
// IPAddress str3 = new IPAddressString("fc00::10:1").getAddress();
// IPAddress str4 = new IPAddressString("fc00::10:2/64").getAddress();
// System.out.println(Arrays.toString(str1.mergeToPrefixBlocks(str2,str3,str4)));
*/
}
}

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@@ -1,17 +0,0 @@
package com.zdjizhi.common;
import org.apache.flink.table.functions.TableFunction;
import org.apache.flink.types.Row;
public class UdtfTest extends TableFunction<Row> {
public void eval(Row[] rows) {
for (Row row : rows) {
collect(row);
}
}
public static void main(String[] args) {
}
}

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package com.zdjizhi.etl;
import com.geedgenetworks.utils.StringUtil;
import com.zdjizhi.common.DosDetectionThreshold;
import com.zdjizhi.common.DosEventLog;
import com.zdjizhi.common.DosSketchLog;
import org.apache.commons.lang3.StringUtils;
import org.junit.Test;
import java.math.BigDecimal;
import java.text.NumberFormat;
import java.util.ArrayList;
import java.util.HashSet;
public class DosDetectionTest {
private final static NumberFormat PERCENT_INSTANCE = NumberFormat.getPercentInstance();
private final static int BASELINE_SIZE = 144;
private final static int STATIC_CONDITION_TYPE = 1;
private final static int BASELINE_CONDITION_TYPE = 2;
private final static int SENSITIVITY_CONDITION_TYPE = 3;
private final static String SESSIONS_TAG = "sessions";
private final static String PACKETS_TAG = "packets";
private final static String BITS_TAG = "bits";
@Test
public void dosDetectionTest(){
DosDetectionThreshold dosDetectionThreshold = new DosDetectionThreshold();
ArrayList<String> serverIpList = new ArrayList<>();
serverIpList.add("192.168.50.11");
serverIpList.add("192.168.50.1/24");
serverIpList.add("FC::12:0:0/54");
serverIpList.add("FC::12:0:0");
dosDetectionThreshold.setId(4437);
dosDetectionThreshold.setAttack_type("DNS Flood");
dosDetectionThreshold.setServer_ip_list(serverIpList);
dosDetectionThreshold.setSessions_per_sec(1);
dosDetectionThreshold.setPackets_per_sec(1);
dosDetectionThreshold.setBits_per_sec(100000);
dosDetectionThreshold.setIs_enabled(1);
dosDetectionThreshold.setSuperior_ids(new Integer[]{5,4,12,27});
DosSketchLog dosSketchLog = new DosSketchLog ();
dosSketchLog.setSessions(68);
dosSketchLog.setPkts(68);
dosSketchLog.setBytes(285820);//185.82
dosSketchLog.setVsys_id(1);
dosSketchLog.setAttack_type("ICMP Flood");
dosSketchLog.setServer_ip("45.170.244.25");
dosSketchLog.setClient_ip("24.152.57.56");
//静态阈值获取
long sessionBase = dosDetectionThreshold.getSessions_per_sec();
long pktBase=dosDetectionThreshold.getPackets_per_sec();
long bitBase=dosDetectionThreshold.getBits_per_sec();
//基于速率进行计算
long diffSession = dosSketchLog.getSessions() - sessionBase;
long diffPkt = dosSketchLog.getPkts() - pktBase;
long diffByte = dosSketchLog.getBytes() - bitBase;
Double diffSessionPercent = getDiffPercent(diffSession, sessionBase)*100;
Double diffPktPercent = getDiffPercent(diffPkt, pktBase)*100;
Double diffBitPercent = getDiffPercent(diffByte, bitBase)*100;
long profileId = 0;
DosEventLog result =null;
if (diffSessionPercent >= diffPktPercent && diffSessionPercent >= diffBitPercent){
profileId = dosDetectionThreshold.getId();
result= getDosEventLog(dosSketchLog, sessionBase, diffSession, profileId, STATIC_CONDITION_TYPE, SESSIONS_TAG);
System.out.println(result);
}else if (diffPktPercent >= diffSessionPercent && diffPktPercent >= diffBitPercent){
profileId = dosDetectionThreshold.getId();
result = getDosEventLog(dosSketchLog, pktBase, diffPkt,profileId, STATIC_CONDITION_TYPE, PACKETS_TAG);
System.out.println(result);
}else if (diffBitPercent >= diffPktPercent && diffBitPercent >= diffSessionPercent){
profileId = dosDetectionThreshold.getId();
result = getDosEventLog(dosSketchLog, bitBase, diffByte, profileId, STATIC_CONDITION_TYPE, BITS_TAG);
System.out.println(result);
}
}
private DosEventLog getDosEventLog(DosSketchLog value, long base, long diff, long profileId, int type, String tag) {
DosEventLog result = null;
String destinationIp = value.getServer_ip();
String attackType = value.getAttack_type();
if (diff > 0 && base != 0) {
double percent = getDiffPercent(diff, base);
Severity severity = judgeSeverity(percent);
Integer staticSensitivityThreshold = 100;
if (severity != Severity.NORMAL) {
if (type == BASELINE_CONDITION_TYPE && percent < 0.2) {
// logger.debug("当前server IP:{},类型:{},基线值{}百分比{}未超过基线敏感阈值,日志详情\n{}", destinationIp, attackType, base, percent, value);
}else if ((type == BASELINE_CONDITION_TYPE || type == SENSITIVITY_CONDITION_TYPE) && value.getSession_rate() < staticSensitivityThreshold){
// logger.debug("当前server IP:{},类型:{},基线值{}百分比{}未超过静态敏感阈值,日志详情\n{}",destinationIp, attackType, base, percent, value);
}else {
result = getResult(value, base, profileId, severity, percent+1, type, tag);
if (type == SENSITIVITY_CONDITION_TYPE){
result.setSeverity(Severity.MAJOR.severity);
}
// logger.info("检测到当前server IP {} 存在 {} 异常,超出基线{} {}倍,基于{}:{}检测,日志详情\n {}", destinationIp,attackType,base,percent,type,tag,result);
}
}
// else {
// logger.debug("当前server IP:{} 未出现 {} 异常,日志详情 {}", destinationIp, attackType, value);
// }
}
return result;
}
private DosEventLog getResult(DosSketchLog value, long base, long profileId, Severity severity, double percent, int type, String tag) {
DosEventLog dosEventLog = new DosEventLog();
// dosEventLog.setLog_id(SnowflakeId.generateId());
dosEventLog.setVsys_id(value.getVsys_id());
dosEventLog.setStart_time(value.getStart_timestamp_ms());
dosEventLog.setEnd_time(value.getStart_timestamp_ms() + value.getDuration());
dosEventLog.setProfile_id(profileId);
dosEventLog.setAttack_type(value.getAttack_type());
dosEventLog.setSeverity(severity.severity);
// dosEventLog.setConditions(getConditions(PERCENT_INSTANCE.format(percent), base, value.getSketch_sessions(), type, tag));
dosEventLog.setConditions(getConditions(percent, base, value.getSessions(), type, tag,dosEventLog));
dosEventLog.setDestination_ip(value.getServer_ip());
// dosEventLog.setDestination_country(IpUtils.ipLookup.countryLookup(value.getDestination_ip()));
String ipList = value.getClient_ip();
dosEventLog.setSource_ip_list(ipList);
dosEventLog.setSource_country_list(getSourceCountryList(ipList));
dosEventLog.setSession_rate(value.getSession_rate());
dosEventLog.setPacket_rate(value.getPacket_rate());
dosEventLog.setBit_rate(value.getBit_rate());
return dosEventLog;
}
public String getConditions(double percent, long base, long sessions, int type, String tag,DosEventLog dosEventLog) {
int condition =0;
if ("Minor".equals(dosEventLog.getSeverity())){
condition=50;
}else if ("Warning".equals(dosEventLog.getSeverity())){
condition=100;
}else if ("Major".equals(dosEventLog.getSeverity())){
condition=250;
}else if ("Severe".equals(dosEventLog.getSeverity())){
condition=500;
}else if ("Critical".equals(dosEventLog.getSeverity())){
condition =800;
}
switch (type) {
case STATIC_CONDITION_TYPE:
return "Rate > " +
base + " " +
tag + "/s" + "(>"+condition+"%)";
case BASELINE_CONDITION_TYPE:
return tag + " > " +
PERCENT_INSTANCE.format(percent) + " of baseline";
case SENSITIVITY_CONDITION_TYPE:
return String.valueOf(sessions) + " " +
tag + "/s Unusually high " +
StringUtils.capitalize(tag);
default:
throw new IllegalArgumentException("Illegal Argument type:" + type + ", known types = [1,2,3]");
}
}
private String getSourceCountryList(String sourceIpList) {
if (StringUtil.isNotBlank(sourceIpList)) {
String countryList;
try {
String[] ipArr = sourceIpList.split(",");
HashSet<String> countrySet = new HashSet<>();
for (String ip : ipArr) {
// String country = IpLookupUtils.getCountryLookup(ip);
// if (StringUtil.isNotBlank(country)){
// countrySet.add(country);
// }
}
countryList = StringUtils.join(countrySet, ", ");
return countryList;
} catch (Exception e) {
// logger.error("{} source IP lists 获取国家失败", sourceIpList, e);
return StringUtil.EMPTY;
}
} else {
throw new IllegalArgumentException("Illegal Argument sourceIpList = null");
}
}
private Double getDiffPercent(long diff, long base) {
return BigDecimal.valueOf((float) diff / base).setScale(4, BigDecimal.ROUND_HALF_UP).doubleValue();
}
private Severity judgeSeverity(double diffPercent) {
if (diffPercent >= 0.5 && diffPercent < 1) {
return Severity.MINOR;
} else if (diffPercent >= 1 && diffPercent < 2.5) {
return Severity.WARNING;
} else if (diffPercent >= 2.5 && diffPercent < 5) {
return Severity.MAJOR;
} else if (diffPercent >= 5 && diffPercent < 8) {
return Severity.SEVERE;
} else if (diffPercent >= 8) {
return Severity.CRITICAL;
} else {
return Severity.NORMAL;
}
}
private enum Severity {
/**
* 判断严重程度枚举类型
*/
CRITICAL("Critical"),
SEVERE("Severe"),
MAJOR("Major"),
WARNING("Warning"),
MINOR("Minor"),
NORMAL("Normal");
private final String severity;
@Override
public String toString() {
return this.severity;
}
Severity(String severity) {
this.severity = severity;
}
}
}

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package com.zdjizhi.etl;
import org.junit.Test;
public class EtlProcessFunctionTest {
@Test
public void EtlProcessFunctionTest(){
}
}