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基于免疫原理的计算机病毒检测技术分析与展望

The Analysis and the Perspectives of Virus Detection Based on Immune Theory

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【作者】 赵红霞张清华牛之贤

【Author】 ZHAO Hong-xia1,2,ZHANG Qing-hua2,NIU Zhi-xian1(1.College of Computer and Softerware,Taiyuan University of Technology,Taiyuan 030024,China;2.College of Electronic Information and Computer,Maoming University,Maoming 525000,China)

【机构】 太原理工大学计算机与软件学院茂名学院计算机与电子信息学院

【摘要】 对计算机病毒检测技术和免疫原理的应用历史及现状进行简要概括,针对目前免疫算法中否定选择算法及其检测器在检测应用中所存在的实际问题展开讨论和分析,以拓展免疫原理在计算机防御病毒的应用,并针对庞大数量的检测器缺少适当的管理策略和搜索策略,为促进计算机主动防御病毒的智能性,介绍了二叉树模型和禁忌搜索策略。

【Abstract】 The application of immune theory to virus detection was probed into its history and its current situation.In terms of existing problems of negative selection algorithm and its detectors,the corresponding solutions were summarized.And a binary tree model and the tabu search strategy were introduced to deal with a large number of detectors which is lacking of management strategy and search strategy.This paper aims at expanding the applications of the immune theory in the computer anti-virus and promoting the intelligence of Computer Active Virus Defense.

  • 【文献出处】 茂名学院学报 ,Journal of Maoming University , 编辑部邮箱 ,2009年06期
  • 【分类号】TP393.08
  • 【下载频次】79
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