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Internet蠕虫的早期检测和响应机制
引用本文:魏达,刘衍珩,王健,田大新,许彦钊.Internet蠕虫的早期检测和响应机制[J].吉林大学学报(工学版),2007,37(4):854-859.
作者姓名:魏达  刘衍珩  王健  田大新  许彦钊
作者单位:1. 吉林大学,计算机科学与技术学院,长春,130012;吉林大学,符号计算与知识工程教育部重点实验室,长春,130012
2. 吉林大学,计算机科学与技术学院,长春,130012
基金项目:国家自然科学基金 , 公安部应用创新计划
摘    要:针对Kalman滤波器在检测蠕虫时具有对检测时间间隔敏感的不足,基于流行病学蠕虫传播模型,提出了一种具有多个检测时间间隔的Kalman滤波器蠕虫早期检测方法和蠕虫响应机制。实验模拟表明:该检测方法和响应机制能达到有效减缓蠕虫大范围快速传播的目的。

关 键 词:计算机系统结构  蠕虫  早期检测  Kalman滤波器  蠕虫传播模型
文章编号:1671-5497(2007)04-0854-06
收稿时间:2006-06-02
修稿时间:2006年6月2日

Internet worm early detection and response mechanism
Wei Da,Liu Yan-heng,Wang Jian,Tian Da-xin,Xu Yan-zhao.Internet worm early detection and response mechanism[J].Journal of Jilin University:Eng and Technol Ed,2007,37(4):854-859.
Authors:Wei Da  Liu Yan-heng  Wang Jian  Tian Da-xin  Xu Yan-zhao
Affiliation:1. College of Computer Science and Technology, Jilin University, Changchun 130012, China ; 2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China
Abstract:Fast spreading of worms has presented one of the major threats to the internet security and this tendency is increasingly fierce.To overcome the deficient sensitivity to time interval based on Kalman filter worm detection,a new worm early detection method and response mechanism were proposed. This early detection method is based on the epidemic worm propagation model and has multi-deferent intervals based on Kalman filter.Experiment simulation shows that the proposed detection method and response mechanism can effectively slow down the rapid propagation of internet worms in a large scope.
Keywords:computer systems organization  worm  early detection  Kalman filter  worm propagation model
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