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基于人工免疫的多Agent自适应入侵检测系统
引用本文:段丹青 陈松乔 杨卫平. 基于人工免疫的多Agent自适应入侵检测系统[J]. 微机发展, 2004, 14(8): 111-113,116
作者姓名:段丹青 陈松乔 杨卫平
作者单位:[1]中南大学信息科学与工程学院,湖南长沙410012 [2]湖南公安高等专科学校,湖南长沙410006
基金项目:湖南省教育厅青年项目(03B009)
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。

关 键 词:入侵检测系统 人工免疫 自适应 多Agent
文章编号:1005-3751(2004)08-0111-03

Multi-agent Network-based Intrusion Detection System Based on Artificial Immunology
DUAN Dan-qing. Multi-agent Network-based Intrusion Detection System Based on Artificial Immunology[J]. Microcomputer Development, 2004, 14(8): 111-113,116
Authors:DUAN Dan-qing
Affiliation:DUAN Dan-qing~
Abstract: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.
Keywords:intrusion detection system  artificial immunology  adaptability  multi-agent
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