基于进化半监督模糊聚类算法的病毒检测研究

The Research of Computer Virus Detection Based on Evolutionary Sem-supervised Fuzzy Clustering Algorithm

现有的计算机病毒检测技术很难检测出未知病毒,在病毒防御中处于被动。复杂的病毒形式,迫切需要一种具有自学习能力,能主动分类、识别和检测未知病毒的方法。分析现有的病毒检测技术,研究进化半监督模糊聚类算法在病毒检测中的应用,探讨其关键技术,在此基础上给出一种病毒检测模型,并通过计算机仿真进行验证,实验结果表明新的方法对未知病毒检测是有效的。

Existing virus detection techrfiques can hardly detect unknow computer virus. Austere situation of virus, needs a new method to detect unknow computer virus that can self- learning ability and can active category, in this paper, analyzed the existing virus zdetection techniques, studied the Application of Evolutionary Sem - Supervised Fuzzy Clustering Algorithm in computer virus detection,explored its key technologies,on this basis, make a model of the computer virus detecion, then usied computer simulation tests to verify.