Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes

Ransomware is a special kind of malware, which leads to irreversible data losses and incurs enormous economic costs. It is an urgent task to detect ransomware nowadays. Further, in order to achieve appropriate defenses and reduce analysts’ workloads, ransomware must be not only detected, but also cl...

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Bibliographic Details

Published in:	Future generation computer systems Vol. 110; pp. 708 - 720
Main Authors:	Zhang, Bin, Xiao, Wentao, Xiao, Xi, Sangaiah, Arun Kumar, Zhang, Weizhe, Zhang, Jiajia
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2020
Subjects:	Deep learning Opcode Ransomware classification Self-attention Static analysis Deep learning Opcode Ransomware classification Self-attention Static analysis
ISSN:	0167-739X, 1872-7115
Online Access:	Get full text
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