基于模糊择近原则的入侵检测系统  

Intrusion Detection System Based on Fuzzy Choose-closed Principle

作　　者：吴辉[1] 谢彦峰[1] 张忠林[1] 

机构地区：[1]兰州交通大学电子与信息工程学院,甘肃兰州730070

出　　处：《兰州交通大学学报》2008年第6期100-102,共3页Journal of Lanzhou Jiaotong University

摘　　要：网络入侵检测需要考虑的因素是多方面的并且是模糊的,要准确界定正常状态和异常状态是目前入侵检测系统面临的一个难点,针对这一问题,本文提出了在网络入侵检测中运用模糊择近原则,利用模糊集合理论对网络入侵参数进行处理,最大限度地把正常状态和异常状态区分开来,提高了入侵检测的准确性,并通过实验验证了这一方法的可行性.Network intrusion detection need to consider a variety of factors which are fuzzy. At present,it is a difficult problem for IDS to distinguish normal state from abnormal one exactly. To solve the problem, an intrusion detection model based on fuzzy choose-closed principle is presented. Applying theory of fuzzy set to process network intrusion parameters can distinguish normal state from abnormal state in the most extent and enhance the accuracy of intrusion detection. Experiments proved the feasibility of the approach.

关 键 词：网络安全 入侵检测 模糊择近原则 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]