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。
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.
出处
《计算机应用》
CSCD
北大核心
2005年第9期2050-2053,2062,共5页
journal of Computer Applications
基金
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)
关键词
计算机病毒
模糊模式识别
模糊集
病毒检测
computer virus
fuzzy pattern recognition
fuzzy set
virus detection
