Malicious code detection based on CNNs and multi-objective algorithm

An increasing amount of malicious code causes harm on the internet by threatening user privacy as one of the primary sources of network security vulnerabilities. The detection of malicious code is becoming increasingly crucial, and current methods of detection require much improvement. This paper pr...

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Bibliographic Details

Published in:	Journal of parallel and distributed computing Vol. 129; pp. 50 - 58
Main Authors:	Cui, Zhihua, Du, Lei, Wang, Penghong, Cai, Xingjuan, Zhang, Wensheng
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2019
Subjects:	CNN Deep learning Imbalance data Malicious code NSGA-II Deep learning NSGA-II CNN Imbalance data Malicious code
ISSN:	0743-7315, 1096-0848
Online Access:	Get full text
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