摘要
近年基于数据挖掘的异常检测技术已经成为研究热点,本文进一步把模糊理论引进入侵检测中,提出一种基于模糊关联规则挖掘的算法,并用遗传算法优化隶属函数参数,经过仿真测试,证明方法的有效性.
Research of Abnormal detection based on data mining has been hot spot recently years. Fuzzy Logic is introduced into Intrusion Detection in this paper. We present the algorithm to mining fuzzy association rules, optimize membership functions of fuzzy logic by genetic algorithm. Experiment results indicate the efficiency of the algorithm.
出处
《漳州师范学院学报（自然科学版）》
2008年第2期42-45,共4页
Journal of ZhangZhou Teachers College（Natural Science)
基金
福建省教育厅科技基金资助项目(JA05300)
关键词
模糊逻辑
入侵检测
遗传算法
Fuzzy Logic
Intrusion Detection
Genetic Algorithm
