基于免疫原理的入侵检测模型  

Intrusion Detection Model based on Immune Principle

作　　者：马亮[1] 任海军[1] 程陈[1] 王文青[1] 周辉[1] 

机构地区：[1]中国地震局第二监测中心,陕西西安710054

出　　处：《计算机安全》2013年第9期2-6,共5页Network & Computer Security

摘　　要：基于免疫原理中的学习记忆机制在入侵检测系统中的应用,利用短时记忆和长时记忆细胞记忆素浓度的变化来改变协同刺激,从而控制记忆程度,优化了入侵检测算法。并通过仿真实验模拟了该检测模型得出模型优化结论。Based on the mechanisms of learning and memory in the principle of immune to the intrusion detection system, we use the change of memory element concentration in the short term memory cells and long term memory cells to control the degree of memoryas a result the algorithm is optimized. At the same time we simulates the detection model through experiments and draw the conclusion of model optimization.

关 键 词：入侵检测 免疫原理 记忆素刺激 记忆机制 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]