A Study of Detector Generation Algorithms Based on Artificial Immune in Intrusion Detection System
Detector plays an important role in self and non-self discrimination for intrusion detection system, which makes detector generation a kernel algorithm for artificial immune system. In this paper, firstly current used binary matching rules are listed, characteristics of which are analyzed. And detector generation algorithm is divided into three main processes, including gene library, negative selection and clone selection. Evolution for gene library is explained based on the gene library theory. Several new methods are adopted to improve the performance of NSA, and finally cooperative co-evolution detector generation model is constructed which is a novel structure for intrusion detection system. This paper is aimed for researchers to focus problems on three main ideas concluded in last chapter.
artificial immune GA intrusion detection detector generation algorithm negative selection algorithm
Chen Jinyin Yang Dongyong
Zhejiang University of TechnoIogy College of Information Engineering Hangzhou ,China Zhejiang University of Technology College of Information Engineering Hangzhou,China
国际会议
上海
英文
4-8
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）