数据挖掘在入侵检测系统中的应用

为了使入侵检测系统智能化,把数据挖掘应用在入侵检测中进行了研究。首先对以往入侵检测系统的研究进行了概述,并且介绍了数据挖掘运用于入侵检测系统的优势,提出了一种基于数据挖掘的网络数据库入侵检测系统,并对这种入侵检测系统的组成及系统的设计进行了描述。并在该系统中运用改进的Apriori算法找出频繁项目集和产生关联规则。并且将该系统进行了实验测试,另外在最后对实验结果进行了分析和总结。总之,该系统是对一种入侵检测系统的探索和研究,在以后的工作中,还要对它进行不断的改进和发展。

Application of Data Mining to Intrusion Detection System

How to apply data mining in the intrusion detection was researched in the paper so that intrusion detection system was owned intelligence.At first past development of Intrusion Detection System was summarized and priority of basing on scoop out to invade to examine system was introduced in the paper,and A kind of my own based on data mining intrusion detection system was spoken to in the paper and the improved apriori calculating way was applied in the paper so as to find frequent item set and produce association rules,and the system was tested in my lab,and result tested was dissected and summed up.In conclusion a sort of intrusion detection system was explored and researched in the paper.In future,the system will be improved and developed.