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	A feature-hybrid malware variants detection using CNN based opcode embedding and BPNN based API embedding
	Jixin Zhang; Zheng Qin; Hui Yin; Lu Ou; Kehuan Zhang
刊名	Computers & Security
	2019
卷号	Vol.84页码:376-392
关键词	API call Back-propagation neural network Convolutional neural network Feature-hybrid Malware variants detection Malware family classification Opcode
ISSN号	0167-4048
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4609242
专题	湖南大学
作者单位	1.b Department of Information Engineering, Chinese University of Hong Kong, Hong Kong, China a College of Information Science and Engineering, Hunan University, Changsha, China 2.College of Computer Science and Technology, Changsha University, Changsha, China
推荐引用方式 GB/T 7714	Jixin Zhang,Zheng Qin,Hui Yin,et al. A feature-hybrid malware variants detection using CNN based opcode embedding and BPNN based API embedding[J]. Computers & Security,2019,Vol.84:376-392.
APA	Jixin Zhang,Zheng Qin,Hui Yin,Lu Ou,&Kehuan Zhang.(2019).A feature-hybrid malware variants detection using CNN based opcode embedding and BPNN based API embedding.Computers & Security,Vol.84,376-392.
MLA	Jixin Zhang,et al."A feature-hybrid malware variants detection using CNN based opcode embedding and BPNN based API embedding".Computers & Security Vol.84(2019):376-392.

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