| 一种基于人工免疫和代码相关性的计算机病毒特征提取方法 |
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| 引用本文： | 王维,张鹏涛,谭营,何新贵.一种基于人工免疫和代码相关性的计算机病毒特征提取方法[J].计算机学报,2011,34(2):204-215. |
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| 作者姓名： | 王维 张鹏涛 谭营 何新贵 |
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| 作者单位： | 1. 北京大学信息科学技术学院智能科学系,北京,100871
2. 机器感知与智能教育部重点实验室,北京,100871 |
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| 基金项目： | 国家自然科学基金(60673020,60875080); 国家“八六三”高技术研究发展计划项目基金(2007AA01Z453)资助 |
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| 摘 要： | 现有的计算机病毒检测方法利用病毒特征码来检测病毒,已经不能适应病毒技术的发展,特别是其无法检测出病毒的新变种与未知病毒.受自然免疫系统的启发,该文提出了一种基于人工免疫的利用计算机病毒代码相关性的计算机病毒特征提取方法.这种特征提取方法在底层提取出与病毒相关的字节模式,在相对更高的层面上记录这些字节模式之间的共同作用信...
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| 关 键 词： | 病毒检测 人工免疫 特征提取 代码相关性 连续一致匹配 |
A Feature Extraction Method of Computer Viruses Based on Artificial Immune and Code Relevance |
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| WANG Wei,ZHANG Peng-Tao,TAN Ying,HE Xin-Gui.A Feature Extraction Method of Computer Viruses Based on Artificial Immune and Code Relevance[J].Chinese Journal of Computers,2011,34(2):204-215. |
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| Authors: | WANG Wei ZHANG Peng-Tao TAN Ying HE Xin-Gui |
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| Affiliation: | WANG Wei ZHANG Peng-Tao TAN Ying HE Xin-Gui(Department of Machine Intelligence,School of Electronics Engineering and Computer Science,Peking University,Beijing 100871)(Key Laboratory of Machine Perception of Ministry of Education,Beijing 100871) |
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| Abstract: | Existing anti-virus methods make use of signatures to detect malicious codes.They are inefficient to detect various forms of computer viruses,especially new variants and unknown viruses.Inspired by biologic immune system,a novel artificial immune based signature extraction method is proposed.This method automatically identifies bit patterns that correlate with viruses using instruction frequency and file frequency,and then identifies higher-level genes that are associated with viruses,generating a detecting... |
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| Keywords: | virus detection artificial immune feature extraction code relevance successive consistency matching |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
