一种改进的基于混沌理论的木马检测器生成算法  

An Improved Trojan Detector Generating Algorithm Based on Chaos Theory

作　　者：秦杰[1] 司群[1] 颜会娟[1] 闫付亮[1] 

机构地区：[1]河南工业大学信息科学与工程学院,河南郑州450001

出　　处：《微电子学与计算机》2012年第4期101-103,109,共4页Microelectronics & Computer

基　　金：国家自然科学基金项目(60970022);河南工业大学校基金项目(2006BS009);河南省财政厅粮食专项(ZX2011-25)

摘　　要：在分析现有应用于入侵检测系统中的检测器生成算法的基础上,提出了一种基于混沌理论的木马检测器生成算法,通过混沌的初值敏感性实现了广泛的搜索空间.结合加权欧式距离,并利用混沌的遍历特性产生了均匀的检测器集合.采用Microsoft visual 2008和Matlab进行仿真实验,结果表明,改进的算法能有效保持抗体的多样性,并具有较快的收敛速度.After studying the existing detector generating algorithms used in the intrusion detection systems,a new approach of detector generating was presented which was based on chaos theory.The over-spread character of chaos sequence combined the concept of weighted Euclidean distance was used to generate set of detector with better distribution,and chaos initial value sensitivity was used to enlarge the searching space.Simulation experiment and the results indicate that the arithmetic not only remains the diversity of population but also has good fast astringency.

关 键 词：混沌 木马 加权欧氏距离 检测器 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]