Android Malware Detection using Machine Learning : Data-Driven Fingerprinting and Threat Intelligence /

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over...

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Bibliographic Details

Main Authors:	Karbab, ElMouatez Billah (Author), Debbabi, Mourad (Author), Derhab, Abdelouahid (Author), Mouheb, Djedjiga (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Advances in Information Security, 86
Subjects:	Computer networks > Security measures. Machine learning. Pattern recognition. Mobile computing. Mobile and Network Security. Machine Learning. Pattern Recognition. Mobile Computing. Electronic books.
Online Access:	Connect to the full text of this electronic book