Research on a randomized real-valued negative selection algorithm

作     者：张凤斌 王胜文 郝忠孝 

作者机构：Dept. of Computer Science and Technology Harbin Institute of Technology Dept. of Computer Science and Technology Harbin University of Science and Technology Harbin 150080China Dept. of Computer Science and Technology Tsinghua University 

出 版 物：《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报（英文版）)

年 卷 期：2006年第13卷第6期

页      面：745-747页

核心收录：

学科分类：07[理学] 070102[理学-计算数学] 0701[理学-数学] 

基　　金：Sponsored by the National Natural Science Foundation of China ( Grant No. 60671049 )  the Subject Chief Foundation of Harbin ( Grant No.2003AFXXJ013)  the Education Department Research Foundation of Heilongjiang Province(Grant No.10541044 1151G012) and the Postdoctor Founda-tion of Heilongjiang(Grant No.LBH-Z05092) 

主　　题：intrusion detection immune systems negative selection algorithm 

摘      要：A real-valued negative selection algorithm with good mathematical foundation is presented to solve some of the drawbacks of previous approach. Specifically, it can produce a good estimate of the optimal number of detectors needed to cover the non-self space, and the maximization of the non-self coverage is done through an optimization algorithm with proven convergence properties. Experiments are performed to validate the assumptions made while designing the algorithm and to evaluate its performance.