Add/Fix: 更新Kafka Topic 为 DOS-SKETCH-TOP-SERVER-IP; 增加Attack Type: NTP Flood

This commit is contained in:
尹姜谊
2024-04-01 19:32:03 +08:00
parent df43bb9e54
commit 6096ff2249
3 changed files with 12 additions and 12 deletions

View File

@@ -31,6 +31,7 @@ public class ApplicationConfig {
public static final String DRUID_ATTACKTYPE_UDP_FLOOD = ConfigUtils.getStringProperty("druid.attacktype.udpflood");
public static final String DRUID_ATTACKTYPE_ICMP_FLOOD = ConfigUtils.getStringProperty("druid.attacktype.icmpflood");
public static final String DRUID_ATTACKTYPE_DNS_AMPL = ConfigUtils.getStringProperty("druid.attacktype.dnsamplification");
public static final String DRUID_ATTACKTYPE_NTP_FLOOD = ConfigUtils.getStringProperty("druid.attacktype.ntpflood");
public static final String DRUID_SERVERIP_COLUMN_NAME = ConfigUtils.getStringProperty("druid.columnname.serverip");
public static final String DRUID_VSYSID_COLUMN_NAME = ConfigUtils.getStringProperty("druid.columnname.vsysid");
public static final String DRUID_ATTACKTYPE_COLUMN_NAME = ConfigUtils.getStringProperty("druid.columnname.attacktype");

View File

@@ -23,7 +23,8 @@ public class BaselineGeneration {
ApplicationConfig.DRUID_ATTACKTYPE_TCP_SYN_FLOOD,
ApplicationConfig.DRUID_ATTACKTYPE_ICMP_FLOOD,
ApplicationConfig.DRUID_ATTACKTYPE_UDP_FLOOD,
ApplicationConfig.DRUID_ATTACKTYPE_DNS_AMPL
ApplicationConfig.DRUID_ATTACKTYPE_DNS_AMPL,
ApplicationConfig.DRUID_ATTACKTYPE_NTP_FLOOD
);
private static final Integer BASELINE_POINT_NUM =
ApplicationConfig.BASELINE_RANGE_DAYS * 24 * (60/ApplicationConfig.HISTORICAL_GRAD);

View File

@@ -1,15 +1,12 @@
############## 数据库配置 ###############
##########################################
#Druid配置
#druid.url=jdbc:avatica:remote:url=http://10.111.200.180:8089/druid/v2/sql/avatica/
# test
druid.url=jdbc:avatica:remote:url=http://192.168.44.12:8082/druid/v2/sql/avatica/
druid.url=jdbc:avatica:remote:url=http://192.168.44.12:8089/druid/v2/sql/avatica/
druid.driver=org.apache.calcite.avatica.remote.Driver
druid.table=traffic_top_destination_ip_metrics_log
druid.table=dos_sketch_top_server_ip
#HBase配置
hbase.table=dos:ddos_traffic_baselines
#hbase.zookeeper.quorum=10.111.200.165,10.111.200.166,10.111.200.167,10.111.200.168,10.111.200.169
hbase.zookeeper.quorum=192.168.44.12
hbase.zookeeper.client.port=2181
@@ -20,14 +17,15 @@ hbase.zookeeper.client.port=2181
# 0读取默认范围天数read.historical.days
# 1指定时间范围
read.druid.time.limit.type=1
read.druid.min.time=1663430400000
read.druid.max.time=1663603200000
read.druid.min.time=1711522800000
read.druid.max.time=1711526400000
#Druid字段映射
druid.attacktype.tcpsynflood=TCP SYN Flood
druid.attacktype.udpflood=UDP Flood
druid.attacktype.icmpflood=ICMP Flood
druid.attacktype.dnsamplification=DNS Flood
druid.attacktype.ntpflood=NTP Flood
druid.columnname.serverip=destination_ip
druid.columnname.vsysid=vsys_id
druid.columnname.attacktype=attack_type
@@ -43,7 +41,7 @@ hbase.baseline.zero.replace.value.suffix=default_value
#数据情况
#读取历史N天数据最小值为3天需要判断周期性
read.historical.days=3
read.historical.days=30
#历史数据汇聚粒度为10分钟
historical.grad=10
# 数据库Time格式
@@ -77,9 +75,9 @@ monitor.frequency.bin.num=100
##########################################
################ 并发参数 #################
##########################################
all.partition.num=10
core.pool.size=10
max.pool.size=10
all.partition.num=1
core.pool.size=1
max.pool.size=1
#druid分区字段partition_num的最大值为9999
druid.statement.query.timeout=36000
druid.partition.num.max=10000