Cryptomining Malware Early Detection Method Based on AECD Embedding

Cryptomining Malware Early Detection Method Based on AECD Embedding

Cryptomining malware can compromise system security, reduce hardware lifetime, and cause significant power consumption. Therefore, implementing cryptomining malware early detection to stop its damage in time is critical to system security. The existing dynamic analysis-based cryptomining malware ear...

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Bibliographic Details
Main Author:	CAO Chuanbo, GUO Chun, LI Xianchao, SHEN Guowei
Format:	Article
Language:	zho
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-04-01
Series:	Jisuanji kexue yu tansuo
Subjects:	cryptomining malware; dynamic analysis; early detection; deep learning
Online Access:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2307023.pdf

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