摘要
机体免疫系统的许多有益特性被应用于入侵检测系统，使之能够主动地防御各种各样的网络攻击。该文在分析了将人工免疫学应用到入侵检测的过程中所遇到诸多问题之后，提出了一个基于免疫的克隆选择算法。该算法采用一种新的基因型与表现型的表达方式，利用全新的匹配方法，引入反向选择算子，对入侵检测的人工免疫模型进行了有效改进。
A few useful mechanisms of biological immune system are applied for intrusion detection systems, which makes it possible to initiatively defense a variety of network attacks. This paper analyses several problems occurring in the process of applying artificial immunology to IDSs. After that, an immunity-based clonal selection algorithm is proposed, which effectively improves artificial immune model of IDSs by adopting novel genotype and phenotype representations and using novel matching function and introducing negative selection operator.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第6期50-52,共3页
Computer Engineering
基金
自然科学基金重大研究计划"网络与信息安全"项目 (90204011)
软件工程国家重点实验室第四批开放基金项目
