摘要
针对目前网络入侵检测系统普遍存在的误报、漏报及自适应差等问题,将生物免疫原理应用于网络入侵检测系统中,构建了一个新的基于生物免疫原理的网络入侵检测模型。介绍了生物免疫系统的原理,论述了生物免疫原理在网络入侵检测中的应用,详细阐述了该模型的工作原理及流程,并对该模型使用的否定选择算法和克隆选择算法进行了描述和分析。实验结果表明,该模型系统提高了入侵检测率,降低了虚警率,整体检测性能较好。
Aiming at the problem of false positive, false negative and lower self-adaptive capability in the network intrusion detection system, applied the biology immune principle to the network intrusion detection system,bttilt a new network intrusion detection model based on the biological immune principle. Introduced the theory of biological immune principle, reviewed the application of biological immune principle in network intrusion detection, elaborated in detail this model＇ s operating principle and working process, described and analyzed negative selection algorithm and clonal selection algorithm used in the model. Experimental results show that the model improves detection rate and reduces the false alarm rate. So it has a better detection performance.
出处
《计算机技术与发展》
2013年第7期167-170,共4页
Computer Technology and Development
基金
湖南省教育科研基金项目(11C0140)
关键词
网络入侵检测
生物免疫原理
否定选择算法
克隆选择算法
network intrusion detection
biological immunity principle
negative selection algorithm
clonal selection algorithm
