用于入侵检测的动态克隆选择算法的研究  

Study on Dynamic Clonal Selection Algorithm for Intrusion Detection

作　　者：王俊[1] 田玉玲[1] 

机构地区：[1]太原理工大学计算机与软件学院,太原030024

出　　处：《计算机与数字工程》2010年第6期108-110,164,共4页Computer & Digital Engineering

摘　　要：针对目前动态克隆选择算法在入侵检测应用中存在较高的误检率的缺陷,提出了一种改进动态克隆选择算法。文章对改进算法进行了描述,建立了一种基于该改进动态克隆选择算法的入侵检测系统(IDS)模型,并进行了仿真实验。仿真实验表明,改进后的算法在降低误报率的情况下,提高了正确检测率。Aiming at high false positive rate of dynamic clonal selection algorithm applied in intrusion detection system（IDS）,an improved dynamic clonal selection algorithm is proposed.The improved dynamic clonal selection algorithm is described in detail.This paper presents an intrusion detection model based on improved dynamic clonal selection algorithms and simulation experiments.Results show that this algorithms improves the correct detection rate and maintains a low false alarm rate,in aspects of the intrusion detection.

关 键 词：动态克隆选择 人工免疫 入侵检测系统 可控变异 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]