A Bayesian probability model for Android malware detection

The unprecedented growth of mobile technology has generated an increase in malware and raised concerns over malware threats. Different approaches have been adopted to overcome the malware attacks yet this spread is still increasing. To combat this issue, this study proposes an Android malware detect...

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Bibliographic Details

Main Authors:	Sharfah Ratibah, Tuan Mat, Mohd Faizal, Ab Razak, Mohd Nizam, Mohmad Kahar, Juliza, Mohamad Arif, Ahmad Firdaus, Zainal Abidin
Format:	Article
Language:	en
Published:	Elsevier 2022
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/32536/1/A%20Bayesian%20probability%20model%20for%20Android%20malware.pdf https://doi.org/10.1016/j.icte.2021.09.003 https://umpir.ump.edu.my/id/eprint/32536/
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