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...

Celý popis

Podrobná bibliografia

Vydané v:	Future generation computer systems Ročník 110; s. 708 - 720
Hlavní autori:	Zhang, Bin, Xiao, Wentao, Xiao, Xi, Sangaiah, Arun Kumar, Zhang, Weizhe, Zhang, Jiajia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2020
Predmet:	Deep learning Opcode Ransomware classification Self-attention Static analysis Deep learning Opcode Ransomware classification Self-attention Static analysis
ISSN:	0167-739X, 1872-7115
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!