Method of anti-confusion texture feature descriptor for malware images

Method of anti-confusion texture feature descriptor for malware images

It is a new method that uses image processing and machine learning algorithms to classify malware samples in malware visualization field.The texture feature description method has great influence on the result.To solve this problem,a new method was presented that joints global feature of GIST with l...

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Bibliographic Details
Main Authors:	Yashu LIU, Zhihai WANG, Hanbing YAN, Yueran HOU, Yukun LAI
Format:	Article
Language:	zho
Published:	Editorial Department of Journal on Communications 2018-11-01
Series:	Tongxin xuebao
Subjects:	malware visualization image texture feature descriptors malware classification
Online Access:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018227/
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