基于人工免疫原理的入侵检测系统  

The Intrusion Detection System Based on Artificial Immune Theory

作　　者：马艳[1] 刘方爱[1] 李田来[1] 

机构地区：[1]山东师范大学信息科学与工程学院,济南250014

出　　处：《信息技术与信息化》2006年第5期55-58,121,共5页Information Technology and Informatization

摘　　要：文章针对前人的免疫IDS模型,改进了动态克隆选择算法与基因库相结合的入侵检测方法,设计了一种self集的确定方法,采用分段匹配的方法,利用人体免疫细胞抗体生成的机制将细胞分为记忆细胞、成熟细胞和未成熟细胞,改进了基于基因库进化、高突变与否定选择相结合的成熟检测器生成算法。The article improves an intrusion detection method combined dynamic clonal selection algorithm with gene library according to immune IDS model before. The method of defining the set of self is devised and use the method of segment - divided match. According to the principle of generating artificial immune cells , The cells are made up of memory cells, matured cells and immatured cells . The matured detection algorithm combined gene library evolution ,high idiovaviation and negetive seletion is improved.

关 键 词：人工免疫 入侵检测 动态克隆 基因库进化 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]