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An Immune-based Method for Virus Detection
一种基于免疫的计算机病毒检测方法*

Keywords: Computer Virus Detection,Artificial Immune System,Negative Selection,Clone Selection
计算机病毒检测
,人工免疫系统,否定选择,克隆选择

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Abstract:

An immune-based method for virus detection is proposed in this paper. The formal definitions of serf, nonself, antigen, antibody, immunocyte in computer software system are presented, Some immune mechanism, such as negative selection and clone selection, are implemented. Experiments are done to test the detection ability, false-negative rate and false-positive rate of the method, Result shows that this method has the features of self-adaptation, self-learning, diversity, can detect know and unknow computer virus effectively.

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