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基于改进的K-最近邻算法的病毒检测方法
引用本文:谢金晶,张艺濒.基于改进的K-最近邻算法的病毒检测方法[J].现代电子技术,2007,30(3):51-53.
作者姓名:谢金晶  张艺濒
作者单位:武汉大学,计算机学院,湖北,武汉,430072
摘    要:由于计算机病毒检测的不可判定性,提出了一种基于改进的K-最近邻检测方法来实现对计算机病毒的近似判别。此方法成功地克服了现有的特征码扫描技术只能检测已知病毒的缺点。首先改进了原始的K-最近邻检测方法,使其更适合于对计算机病毒进行预测。并在此检测方法上,设计了一个病毒检测系统。此系统既可查杀已知病毒,也可分析评判可疑程序.诊断出被感染病毒以及病毒类型。

关 键 词:K-最近邻算法  计算机病毒  病毒检测  INTERNET
文章编号:1004-373X(2007)03-051-03
收稿时间:2006-08-16
修稿时间:2006年8月16日

Computer Virus Detection Based on Improved K-Nearest Neighbor Algorithm
XIE Jinjing,ZHANG Yibin.Computer Virus Detection Based on Improved K-Nearest Neighbor Algorithm[J].Modern Electronic Technique,2007,30(3):51-53.
Authors:XIE Jinjing  ZHANG Yibin
Affiliation:Computer College,Wuhan University,Wuhan,430072,China
Abstract:Because precise determination of a computer virus is undecidable,a method based on improved K-nearest neighbor to detect computer virus approximately is presented in this paper.It can successfully overcome the disadvantage of normal virus scanner,which can only detect known virus.First improved the primal K-nearest neighbor algorithm,which can make it more suitable for computer virus detection.And a virus detect system based on this detect method is also designed.This system can detect known computer virus and can analysis and judge shadiness program,diagnose which kind of computer virus is infected.
Keywords:Internet
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