网络数据包数据的在线处理,用于入侵检测系统

A. Jacobus, A. Sinsuw
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引用次数: 3

摘要

入侵检测系统作为计算机网络中存在的一个重要的网络安全工具,利用该工具可以在入侵行为造成更大的破坏之前将其检测出来。传统的入侵检测系统是利用专家制定的规则来检测入侵,但随着网络活动的增加,需要分析的数据量越来越大,从而产生了新的入侵技术无法检测到的可能性。利用数据挖掘技术从网络数据包数据中发现入侵模式是离线环境下入侵检测的成功方法,但有效的入侵检测系统必须能够在线环境下检测到入侵。因此需要一种能够对网络数据包数据进行在线处理的方法。本文讨论了数据处理网络数据包建立连接记录的完整或不完整,以使入侵检测系统能够在线检测入侵,并根据测试结果,该方法成功地实现了在线环境下的入侵检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network packet data online processing for intrusion detection system
The existence of intrusion detection systems in computer network as a part of network security tool is very important, with this tool a computer system can detect the intrusion action before it makes more damage. Traditional intrusion detection system using the rule that created by expert for detecting the intrusion, but because of the increasing of internet activity the data to be analyzed in order to establish that rules become large and create the possibility the new intrusion technique cannot detect. Using data mining techniques to find intrusion pattern from network packet data was success to detect intrusion in offline environment, but the effective intrusion detection system must able to detect the intrusion in online environment. Therefore needed a method that can be used to perform online processing of network packets data. This paper discusses the data processing network packets to establish the connection records are complete or incomplete in an effort to enabling the intrusion detection system detecting the intrusion online and based on the test result this method was success to detect the intrusion in online environment.
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