摘要
目前网络入侵检测系统普遍具有自适应差、误报率高等问题。人类免疫系统工作原理为解决此类问题提供了一种很好的方法。通过对人类免疫系统工作原理的研究,根据其原理、体系结构建立了一个基于免疫原理的网络入侵检测系统模型。该模型系统具有分布性、自组织性和轻负荷的特性,能较好地解决入侵检测系统的自适应差、误报率高等问题。
At present time, NIDS have disadvantages such as bad self-adaptive and high misinformation. Drawing the inspiration from human immune system, the reference from this theory to resolve these problems of NIDS was provided. Through the research on the operating principle of human immune system, a NIDS model was given based on its principle and architecture. This model has such characteristics as distr/buted, self-organisation and lightweight which are requirements of a network-based IDS＇s, and it is able to resolve those problems.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第2期238-240,251,共4页
Computer Engineering and Design
基金
江苏省教育厅自然科学基金项目(03KJD520068)
关键词
入侵检测
免疫系统
负选择算法
网络安全
intrusion detection
immune system
negative selection algorithm
network security
