计算机应用 ›› 2005, Vol. 25 ›› Issue (09): 2050-2053.DOI: 10.3724/SP.J.1087.2005.02050

• 人工智能 • 上一篇    下一篇

基于模糊模式识别的未知病毒检测

张波云1,2,殷建平1,唐文胜1,蒿敬波1   

  1. 1. 国防科技大学计算机学院; 2.湖南公安高等专科学校计算机系
  • 发布日期:2011-04-11 出版日期:2005-09-01
  • 基金资助:

    国家自然科学基金资助项目(60373023);;湖南省自然科学基金资助项目(04JJ6032)

Unknown computer virus detection based on fuzzy pattern recognition

ZHANG Bo-yun1,2,YIN Jian-ping1,TANG Wen-sheng1,HAO Jing-bo1   

  1. 1.School of Computer Science,National University of Defense Technology,Changsha Hunan 410073,China;2.Department Computer Science,Hunan Public Security College,Changsha Hunan 410138,China
  • Online:2011-04-11 Published:2005-09-01

摘要: 提出了一种基于模糊模式识别的检测方法来实现对计算机病毒的近似判别。该方法可以克服病毒特征代码扫描法不能识别未知病毒的缺点。在该检测方法的基础上,文中设计了一个病毒检测网络模型,此模型既可以实现对已知病毒的查杀,又可以对可疑程序行为进行分析评判,最终实现对未知病毒的识别。

关键词: 计算机病毒, 模糊模式识别, 模糊集, 病毒检测

Abstract: A fuzzy recognition algorithm to detect computer virus approximately was present.It could overcome the shortage of normal virus scanner-which could not detect unknown virus.Based on this method,a virus detect network model was designed.This model can detect virus in the on-line system,and it can also detect known and unknown computer virus by analyzing the program behavior.

Key words: computer virus, fuzzy pattern recognition, fuzzy set, virus detection

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