入侵检测中基于残余抗原理论的动态记忆算法

Algorithm of dynamic memory based on residual antigen for intrusion detection

依据生物免疫的防御层次结构,分析了网络入侵的多层防御体系。引入生物学中残余抗原理论,结合入侵检测过程中存在的残余抗原,提出了一种新的基于残余抗原理论的动态记忆算法。在此基础上,分析了算法的设计思想,给出了算法的具体实现过程。实验数据表明:该算法实现了识别器记忆的动态性和持久性,并且能够提高系统资源的利用率。

According to the defending hierarchy of biological immune system, combined with residual antigen theory of biology, making use of ＂residual antigen＂ existing in the process of antibody detecting, on the basis of analyzing of multilayer defending system applied in the network intrusion detection, a dynamical memory algorithm is designed based on the residual antigen theory. The thinking of designing this algorithm is analysed, and the process of how to carry out it is presented. The date produced from experiment indicates that the algorithm makes the dynamic and permanent of memory of the intrusion detection come true and the utilization of system resource is improved.