Online analytical model of massive malware based on feature clusting

Online analytical model of massive malware based on feature clusting

In order to improve the effectiveness and efficiency of mass malicious code analysis,an online analytical model was proposed including feature space construction,automatic feature extraction and fast clustering.Our research focused on the law of malware behavior and code string distribution by dynam...

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Bibliographic Details
Main Authors:	Xiao-lin XU, Xiao-chun YUN, Yong-lin ZHOU, Xue-bin KANG
Format:	Article
Language:	zho
Published:	Editorial Department of Journal on Communications 2013-08-01
Series:	Tongxin xuebao
Subjects:	malware on-line analytical fast clustering feature extraction
Online Access:	http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.08.019/
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