摘要
主要探讨免疫原理在计算机病毒检测中的应用,并实现了一种将否定选择、克隆选择等生物免疫机制应用于传统的基于特征码的计算机病毒检测法。实验表明,该方法具有检测已知病毒和识别病毒的一些未知变种的能力,能够自动提取特征码,并且生成的病毒特征码具有很低的误别率,是一种实用的计算机病毒检测的方法。
The Application of immune theory to virus detection is proposed. Some immune mechanisms, such as Negative Selection and Clone Selection, are applied to traditional signature-based virus detection. Experimental result shows that the method can detect known virus and some of their mutations, and it has the ability to extract signature automatically. Moreover, the signature extracted has low false-positive rate. The method is a practical way for virus detection.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第9期52-53,108,共3页
Computer Applications and Software
基金
浙江省科技计划项目(2007C33071)
关键词
免疫原理
病毒免疫系统
病毒检测
选择算法
Immune theory Virus immune system Virus detection Selection algorithm
