基于模糊免疫的入侵检测系统设计

针对入侵检测过程中存在的检测精度不高,训练时间过长等问题,提出了基于模糊免疫入侵检测系统,该系统通过引入模糊免疫的策略,大幅缩减了入侵检测的训练时间.同时采用基于连续特征码的匹配策略,提高了入侵检测的精度.实验测试表明,该文设计的算法比基于传统的海明距离匹配的入侵检测算法,其训练时间大幅缩短,其检测率降低约50％.

Invasion Detection System Design Based on Fuzzy Immunity

In view of the invasion detection process,the detection precision is not high,the training time is excessively long and so on,the invasion detection system is proposedbased on the fuzzy immunity.This system reduced the invasion detection training time largely with fuzzy immunity strategy,simultaneously has improved the invasion detection precision based on the continual condition code match strategy.The experiment tests indicated that this paper designs the algorithm,compared to based on the traditional hamming distance matching invasion detection algorithm,its training time reduces largely,its detection rate reduces approximately 50%.