广东石油化工学院学报2012，Vol.22Issue(3)：37-40,4.
基于人工免疫的网络入侵检测算法研究进展
The Research of Network Intrusion Detection Algorithm Based on Artificial Immune Theory
摘要
Abstract
In this paper, with the basic principle of biological immune, the network intrusion detection principle and applications based on artificial immune are introduced, including self- set, error tolerance and self- adaptation of application, and so on. The paper also focuses on basic matching algorithm of artificial immune, which makes a thorough discussion and points out the similarities and differences of the va- rious algorithms and their research direction. Finally through analyzing the characteristics and existing problems of the current algorithms, the paper proposes an algorithm design idea in the huge loads application, and prospects the research hotspot and focus in the future.关键词
人工免疫/入侵检测/阴性选择/克隆选择/遗传算法Key words
artificial immune/intrusion detection/negative selection/clone selection/genetic algorithm分类
信息技术与安全科学引用本文复制引用
康启超,张清华,秦勇,段富..基于人工免疫的网络入侵检测算法研究进展[J].广东石油化工学院学报,2012,22(3):37-40,4.基金项目
广东省教育部产学研结合项目“自适应免疫网络入侵检测技术” （）
