摘要
该文阐述了当前入侵检测系统存在的问题，针对现有入侵检测系统漏报、误报率高的问题，提出了将数据挖掘技术应用于入侵检测系统的思想，设计出了一个基于数据挖掘技术的入侵检测系统模型，描述了模型体系结构及主要功能。实验测试表明．该模型能提取特征，生成新规则，找到入侵数据，大大提高了入侵检测系统的准确性和可靠性，对于保护网络起到了非常重要的作用．
The problems of intrusion detection system were described by this paper. To solve the problems of intrusion detection system,the thinking of intrusion detection system applied to data mining was proposed. A model of intrusion detection based on data mining was designed. Its system architecture and main function were discussed. Experimental tests showed that the model could extract features, produce new rules, find intrusion data and increase validity and reliability of intrusion detection system, it played a very important role in protecting the network.
出处
《电脑知识与技术》
2010年第4期2358-2359,2362,共3页
Computer Knowledge and Technology
关键词
入侵检测
数据挖掘
规则提取
网络安全
intrusion detection
data mining
rule extraction
network securiW
