摘要： 建立了一个基于人工免疫原理的入侵检测系统模型，该模型融合了智能协议分析、克隆选择、人工免疫、遗传算法等多种智能技术，对其中的克隆选择算法进行了研究，对Forrest的静态克隆选择算法提出了改进方案。仿真实验表明，改进算法在性能上优于Forrest的静态克隆选择算法。

关键词: 人工免疫, 入侵检测, 检测子, 静态克隆选择算法

Abstract: This paper establishes the IDS(Intrusion Detection System) model based on artificial immune, which is based on multiple intelligent technologies such as intelligent protocol analysis, clonal selection algorithm, artificial immune system and genetic algorithm. It takes further research on the clonal selection algorithm, and puts forward an improved scheme of Forrest’s static clonal selection algorithm. The simulation results indicate that the improved algorithm is superior to Forrest’s static clonal selection algorithm in performance.

Key words: Artificial immune, Intrusion detection, Detector, Static clonal selection algorithm