59 lines
1.5 KiB
Properties
59 lines
1.5 KiB
Properties
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#Druid配置
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druid.url=jdbc:avatica:remote:url=http://192.168.44.12:8082/druid/v2/sql/avatica/
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druid.driver=org.apache.calcite.avatica.remote.Driver
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druid.table=top_server_ip_test_log
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#字段映射
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druid.attacktype.tcpsynflood=sessions
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druid.attacktype.udpflood=bytes
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druid.attacktype.icmpflood=packets
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druid.attacktype.dnsamplification=packets
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druid.serverip.columnname=destination
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druid.attacktype.columnname=order_by
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druid.recvtime.columnname=__time
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#baseline生成metric
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baseline.metric.type=session_num
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#HBase配置
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hbase.table=ddos_traffic_baselines
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hbase.zookeeper.quorum=192.168.44.12
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hbase.zookeeper.client.port=2181
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#读取druid时间范围方式，0：读取默认范围read.druid.time.range天数；1：指定时间范围
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read.druid.time.limit.type=1
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#07-01
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read.druid.min.time=1625068800000
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#06-01
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#read.druid.min.time=1622476800000
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read.druid.max.time=1625673600000
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#读取过去N天数据，最小值为3天（需要判断周期性）
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read.historical.days=7
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#历史数据汇聚粒度为10分钟
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historical.grad=10
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#baseline生成方法
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baseline.function=KalmanFilter
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#baseline时间1天
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baseline.range.days=1
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# 数据库Time格式
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time.format=yyyy-MM-dd HH:mm:ss
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#算法参数
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baseline.period.correlative.threshold=0.5
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baseline.historical.ratio.threshold=0.1
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baseline.historical.sparse.fill.percentile=0.95
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baseline.rational.percentile=0.95
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#Kalman Filter
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baseline.kalman.q=0.000001
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baseline.kalman.r=0.002
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# 每更新1000个记录打印log
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log.write.count=10000
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# FOR TEST
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generate.batch.size=1
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