基于序列模式挖掘的入侵检测系统的研究

对入侵检测和数据挖掘从定义和分类等各方面等进行了基本介绍,提出了一个基于数据挖掘的入侵检测系统的总体框架,其整个系统分为训练阶段和测试阶段,对其中各个模块进行基本的功能分析。为了提高数据挖掘的效率,可以将序列模式挖掘引入该入侵检测系统中。将关联规则算法和序列模式挖掘算法同时使用,增加挖掘的粒度。对序列模式挖掘的算法进行了具体分析,并通过具体的实例来说明引入序列模式挖掘能更好地提高数据挖掘的效率。

Research of Intrusion Detection System Based on Sequential Pattern Mining

Introduces the concepts about the definition and the sort of the intrusion detection system and data mining,presents a total intrusion detection frame based on data mining,it includes two phases,training phase and testing phase,and analyses the function of the each model in the frame.In order to advance the efficiency of the data mining,the sequential pattern mining is inducted into this frame.To increase the mining depth,the sequential pattern mining algorithm can be combined with the association rules algorithm.In the end analyses the sequential pattern mining algorithm,and through the example to explain the advancement of the efficiency of the data mining.