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基于数据挖掘的入侵检测技术研究
Study on Intrusion Detection Technology Based on Data Mining
【摘要】 数据挖掘方法可以处理庞大的日志审计和网络数据,并能更快地提取入侵模式。提取网络入侵模式所用的主要有分类算法、关联规则算法和序列规则算法等。本文对基于数据挖掘的入侵检测的基本思想和技术等作了讨论,介绍了一个基于数据挖掘的入侵检测实例,提出了今后入侵检测的研究方向。
【Abstract】 Data mining techniques can deal with a great deal of data from log audit and network, and get intrusion mode.Major methods to distill network intrusion mode are class algorithm、association rule algorithm and frequent episodes algorithm .In this paper,the basic ideas and techniques of data mining-based intrusion detection and an instance of data mining-based IDS are discussed ,some problems and the future directions are proposed.
【关键词】 入侵检测;
数据挖掘;
分类;
关联规则;
序列规则;
【Key words】 intrusion detection; data mining; classify; association rule; frequent episodes;
【Key words】 intrusion detection; data mining; classify; association rule; frequent episodes;
- 【文献出处】 计算机与现代化 ,Computer and Modernization , 编辑部邮箱 ,2005年04期
- 【分类号】TP393.08
- 【被引频次】17
- 【下载频次】149