摘要
入侵检测系统被认为是继防火墙之后的网络第二道安全闸门,而生物免疫系统的分布性、多样性、自适应性、记忆性等正是入侵检测系统所期望实现的。本文将生物免疫机理应用于侵检测技术中,构建了一个基于生物免疫机理的分布式的入侵检测模型,详细阐述了该模型的体系结构、工作原理及流程,并对该模型使用的负选择算法和克隆选择算法进行了描述和分析。
The intrusion detection system is considered to be the second security gate behind the firewall, the biological immune system＇s distributivity, the multiplicity, auto -adapted, memory and so on are the intrusion detection system ’s expectation. This article applied the biology immune mechanism to the intrusion detection system,built a distributed intrusion detection model based on the biological immune mechanism, elaborated in detail this model＇s architecture , operating principle and working process, and described and analyzed negative selection algorithm and clonal selection algorithm used in the model.
出处
《微计算机信息》
2011年第7期196-198,共3页
Control & Automation
关键词
分布式
入侵检测
生物免疫
负选择算法
克隆选择算法
Distributed
Intrusion Detection
Biological Immunity
Negative Selection Algorithm
Clonal Selection Algorithm
