A simple statistical analysis approach for Intrusion Detection System

A. A. Waskita, H. Suhartanto, P. D. Persadha, L. T. Handoko
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引用次数: 12

Abstract

A novel approach to analyze statistically the network traffic raw data is proposed. The huge amount of raw data of actual network traffic from the Intrusion Detection System is analyzed to determine if a traffic is a normal or harmful one. Using the active ports in each host in a network as sensors, the system continuously monitors the incoming packets, and generates its average behaviors at different time scales including its variances. The average region of behaviors at certain time scale is then being used as the baseline of normal traffic. Deploying the exhaustive search based decission system, the system detects the incoming threats to the whole network under supervision.
入侵检测系统的简单统计分析方法
提出了一种统计分析网络流量原始数据的新方法。入侵检测系统通过分析来自实际网络流量的大量原始数据来判断流量是正常的还是有害的。系统将网络中每台主机上的活动端口作为传感器,对进入网络的数据包进行持续监控,并生成其在不同时间尺度上的平均行为及其方差。在一定的时间尺度上,行为的平均区域被用作正常流量的基线。该系统采用基于穷举搜索的决策系统,在监控下对整个网络的威胁进行检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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