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现有网络入侵检测系统的关键不足在于不能识别未知模式的入侵 ,智能水平低 .生物免疫系统的自我保护机制对设计新的网络入侵检测系统具有很好的借鉴意义 .论文通过抽取生物免疫系统中所蕴涵的各种信息处理机制 ,将网络数据传输行为分为正常和异常行为 ,分别对应为网络的自我与非我 ,建立了一个基于人工免疫的网络入侵检测系统原型 .系统中蕴涵的生物免疫机制主要有非我识别机制、免疫进化机制等 .本文着重介绍此原型系统的结构和特征、免疫识别算法 ,并进行了实际检测实验 .实验结果表明生物免疫的自我保护机制在网络入侵检测系统方面具有很强的应用前景 .
The key problem of existing network intrusion detection system is that it can not identify the invasion of unknown mode and the intelligence level is low.The self-protection mechanism of biological immune system has a good reference for the design of new network intrusion detection system.Through the extraction of biological immune system Implies a variety of information processing mechanisms, the network data transmission behavior is divided into normal and abnormal behavior, respectively, corresponding to the network of self and non-I, established a prototype based on artificial immune network intrusion detection system implies biological immunity The mechanisms are mainly non-recognition mechanism, immune evolution mechanism, etc. This article focuses on the structure and characteristics of this prototype system, immune recognition algorithm, and the actual test.Experimental results show that the biological immune self-protection mechanism in the network intrusion detection system Has a strong application prospects.