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.
出处
《软件导刊》
2011年第7期64-65,共2页
Software Guide
关键词
模糊关联规则
入侵检测
遗传算法
Fuzzy Association-Rules
Intrusion Detection
Genetic Algorithm
