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基于程序语义的计算机病毒检测方法
引用本文:陈月玲,贾小珠.基于程序语义的计算机病毒检测方法[J].青岛大学学报(自然科学版),2007,20(1):74-77.
作者姓名:陈月玲  贾小珠
作者单位:青岛大学,信息工程学院,青岛,266071;青岛大学,信息工程学院,青岛,266071
摘    要:通过分析病毒程序的典型传染行为模式,总结出传染模块的典型语义特征,形成描述其语义特征的语义关系框架,在此基础上提出了一种针对未知病毒的检测方法——基于程序语义的病毒检测方法。该方法是通过抽取程序的语义关系框架,将之与病毒的语义关系框架进行匹配,达到检测未知病毒的目的。模拟实验中选取三种病毒作为样本,检测了20个程序,结果表明,在阈值D=0.9时,检测的准确率为87.5%。

关 键 词:计算机病毒  传染行为  程序语义  病毒检测
文章编号:1006-1037(2007)01-0074-04
收稿时间:2006-11-19
修稿时间:2006-11-19

Computer Virus Detection Method Based on Program Semantic
CHEN Yue-ling,JIA Xiao-zhu.Computer Virus Detection Method Based on Program Semantic[J].Journal of Qingdao University(Natural Science Edition),2007,20(1):74-77.
Authors:CHEN Yue-ling  JIA Xiao-zhu
Institution:College of Information Engineering, Qingdao University, Qingdao 266071, China
Abstract:Through analyzing the typical infection behavior model of different viruses,we summed up the typical semantic characteristic in the module of infection and formed semantic relations frame that can describe the semantic characteristic.And we proposed a new virus detection method based on program semantic to detect unknown viruses.By extracting semantic relations frame of the program,this frame matches with virus's semantic relations frame,thus achieving the purpose of detecting unknown viruses.In the simulated experiment three kind of viruses are selected to take the sample and 20 programs are detected.When threshold value D is equal to 0.9,the accurate rate is 87.5%.
Keywords:computer viruses  infection behavior  program semantic  virus detection
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