基于模式识别的智能入侵检测系统  

Intelligent Intrusion Detection System Based on Pattern Recognition

作　　者：邱树伟 

机构地区：[1]汕头职业技术学院计算机系,广东汕头515078

出　　处：《四川理工学院学报（自然科学版）》2011年第1期77-81,共5页Journal of Sichuan University of Science & Engineering(Natural Science Edition)

摘　　要：文章分析了入侵检测的基本理论和技术,结合模式识别的原理及其与入侵检测的相似性,论证了将模式识别方法应用于入侵检测的可行性,同时,运用近邻法、K-近邻法和K-均值法等关键技术设计了基于模式识别的智能入侵检测系统,仿真实验表明,该系统具备较高的检测率和较低的误警率。The basic theory and technology of intrusion detection were introduced, combined the principles of Pattern Recognition with the similarity of Pattern Recognition and intrusion detection, the Pattern Recognition applied to the feasibility of intrusion detection system was demonstrated, at the same time, the intelligent intrusion detection system based on Pattern Recognition was designed using nearest neighbor, k-nearest neighbor and k-means, simulation results show that it has a higher detection rate and lower false alarm rate.

关 键 词：入侵检测系统 人工智能 模式识别 近邻法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]