A Multifaceted Deep Generative Adversarial Networks Model for Mobile Malware Detection

A Multifaceted Deep Generative Adversarial Networks Model for Mobile Malware Detection

Malware’s structural transformation to withstand the detection frameworks encourages hackers to steal the public’s confidential content. Researchers are developing a protective shield against the intrusion of malicious malware in mobile devices. The deep learning-based android malware detection fram...

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Bibliographic Details
Main Authors:	Fahad Mazaed Alotaibi, Fawad
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Series:	Applied Sciences
Subjects:	classification generative adversarial networks malware detection
Online Access:	https://www.mdpi.com/2076-3417/12/19/9403

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