基于生物免疫原理的过滤器算法研究

Research on a filter algorithm based on biological immune theory

从实际应用的角度,分析了负检测方法的局限性,针对网络入侵检测的效率问题,构建了一个具有动态自适应性的过滤器系统,对过滤器检测元的生成算法进行了深入的研究。根据正选择算法识别自我的独特性,借鉴动态科隆选择算法的思想,以正选择算法为核心并结合数据挖掘技术来确保检测器的生成效率及检测效率。

The paper analyzes the localization of the negation detection approach. A dynamic and auto - adapted filter system is established in view of the question of the network intrusion detecting efficiency. The generation and detecting efficiency of detection are ensured by the specificity of the positive selection algorithm that can discern self; the algorithm uses the dynamic clone selection algorithm as the frame, the positive selection algorithm as the core and data mining technique.