分布式入侵检测系统中动态克隆选择算法的设计  

Design of dynamic clonal selection algorithm in distributed intrusion detection system

作　　者：张瑞武[1] 夏靖波[1] 罗贇骞[1] 黄凯[1] 

机构地区：[1]空军工程大学电讯工程学院

出　　处：《电光与控制》2006年第3期56-59,64,共5页Electronics Optics & Control

基　　金：陕西省自然科学基金(2004F14);军用信息网项目基金(KJZ03490)

摘　　要：在介绍人工免疫系统基本概念的基础上,讨论了基于人工免疫的入侵检测算法,重点讨论阴性选择算法和克隆选择算法,提出了一个基于人工免疫的入侵检测系统的模型,并针对传统克隆选择算法耗时性大的缺点对算法进行优化设计。理论分析和实验表明,算法的检测效率有了明显的改善。The artificial immune immune theory based algorithm is system inspired by the nature immune discussed, including negative selection system is introduced. The artificial algorithm and clone selection algorithm. An artificial immune - based model of intrusion detection system is presented and a distributed parallel clonal selection algorithm is designed in order to overcome its disadvantages. Theoretical analysis and experiments show that the improved algorithm is better than the traditional algorithm.

关 键 词：分布式入侵检测系统(DIDS) 人工免疫系统 克隆选择算法 

分 类 号：V24[航空宇航科学与技术—飞行器设计] TP393.08[自动化与计算机技术—计算机应用技术]