摘要
简介了入侵检测系统(IDS)的基本概念,指出了目前的入侵检测系统存在的不足。为了解决传统入侵检测系统中的不足,将人工免疫原理引入入侵检测系统。根据自然免疫系统的特点,提出建立基于人工免疫原理的多Agent网络入侵检测系统,该系统采用了基于多Agent的分布式体系结构,同时应用了阴性选择、克隆选择、基因库进化以及联想记忆等人工免疫原理,使得构造的网络入侵检测系统具有自适应性、分布性、自识别能力和可扩展性的特点。
The concepts of Intrusion Detection System (IDS) has been introduced,and the main weaknesses in current IDS has been pointed out.In order to solve the problems in existing IDS,the artificial immunology is introduced in our network-based IDS.According to the feature of human immune system,a multi-agent network-based intrusion detection system based on artificial immunology has been proposed.The system adopts the distributed architecture based on multi-agent,employs the artificial immune mechanism including negative selection,clonal selection,gene library evolution,associative memory and so on,therefore,the system has the features of adaptability,being distributed,self-recognition and extendibility.
出处
《微机发展》
2004年第8期111-113,116,共4页
Microcomputer Development
基金
湖南省教育厅青年项目(03B009)
关键词
入侵检测系统
人工免疫
自适应
多AGENT
intrusion detection system
artificial immunology
adaptability
multi-agent
