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在介绍人工免疫系统基本概念的基础上,讨论了基于人工免疫的入侵检测算法,重点讨论阴性选择算法和克隆选择算法,提出了一个基于人工免疫的入侵检测系统的模型,并针对传统克隆选择算法耗时性大的缺点对算法进行优化设计。理论分析和实验表明,算法的检测效率有了明显的改善。
Based on the introduction of the basic concepts of artificial immune system, the algorithms of intrusion detection based on artificial immune are discussed. The negative selection algorithm and clonal selection algorithm are discussed emphatically. A model of intrusion detection system based on artificial immune is proposed. The traditional clone selection algorithm The time-consuming shortcomings of the algorithm to optimize the design. Theoretical analysis and experiments show that the detection efficiency of the algorithm has been significantly improved.