基于生物免疫原理的网络入侵检测系统  

Network intrusion detection system based on biological immune system

作　　者：王宝进 薛娟 

机构地区：[1]江苏交通技师学院,江苏镇江212006

出　　处：《计算机工程与设计》2006年第23期4434-4436,共3页Computer Engineering and Design

基　　金：江苏省教育厅自然科学基金项目(03KJD520068)

摘　　要：给出了一种基于生物免疫原理的新型入侵系统模型,该模型将生物免疫中的自我有效地划分为4类:用户类,网络类,系统类,并结合遗传算法和模拟退火算法对基因库形成算法进行了改进。分布性、灵活性、伸缩性、多样性、健壮性、适应性以及存储记忆和不规则检测能力是入侵检测模型系统的主要特点。Through the research on the principle of biological immune system, an innovative intrusion detection model is presented and analyzed. For enhancing the efficiency and flexibility of immune system, gene bank is divided into four independently genera gene banks, including user genus, network genus, system genus and course genus, and a genetic algorithm is introduced, ameliorated by a simulated armealing algorithm to generate and evolve each gene bank. This novel intrusion detection system model has the properties of distributed protection, flexibility, scalability, and diversity, robustness, adaptability, and memoryandanomalydetection.

关 键 词：IDS模型设计 入侵检测 生物免疫 遗传算法 模拟退火算法 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]