模糊数据挖掘及遗传算法在IDS中的应用研究  

Research on Application of Fuzzy Data Mining and Genetic Algorithm in IDS

作　　者：朱红萍[1] 巩青歌[2] 

机构地区：[1]武警工程学院通信与信息技术研究所,陕西西安710086 [2]武警工程学院科研部,陕西西安710086

出　　处：《软件导刊》2011年第7期64-65,共2页Software Guide

摘　　要：针对关联规则挖掘中存在的"尖锐边界问题",重点研究了模糊关联规则挖掘及遗传算法在入侵检测中的应用,在隶属度的计算中采用了折中的准则。实验结果表明该方法能有效区分正常状态和异常状态,提高入侵检测准确度。In order to solve the problem of acuity boundary when compartmentalizing in association-rules mining,the application of fuzzy association-rules mining and genetic algorithm in IDS was researched mainly,compromise-rule was used when calculating support degree.The results of the experiment approved that this method can distinguish the normal state and abnormal state effectively and improve the nicety degree of intrusion detection.

关 键 词：模糊关联规则 入侵检测 遗传算法 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]