摘要: 随着恶意入侵计算机现象的日益严重,准确检测网络入侵的需求应运而生,从而推动了IDS理论和技术的不断发展。该文给出了一个智能入侵检测系统(IIDS)的原型系统。介绍了该原型系统的体系结构。主要研究了模糊逻辑和遗传算法在IDS规则匹配和入侵行为模板挖掘中的应用。
关键词:
入侵检测,
模糊逻辑,
遗传算法,
数据挖掘
Abstract: As malicious intrusions into computer network system have become a growing problem , the need for accurately detecting these network intrusions has risen . At the same time , this need is promoting the development of theories and techniques of IDS system . This paper presents a prototype system of intelligent intrusion detection system(IIDS) , and irtroduces the structure and modules of the model system. It mainly studies the application of fuzzy logic and genetic algorithms when processing fuzzy rule matching and mining the patterns of intrusion behavior.
中图分类号:
王永杰,鲜明,王国玉,肖顺平. 模糊逻辑和遗传算法在IIDS中的应用[J]. , 2004, 30(09): 138-.
WANG Yongjie,XIAN Ming,WANG Guoyu,XIAO Shunping. Application of Fuzzy Logic and Genetic Algorithms in IIDS[J]. , 2004, 30(09): 138-.