A Survey on Android Malware Detection Techniques Using Supervised Machine Learning

A Survey on Android Malware Detection Techniques Using Supervised Machine Learning

Android’s open-source nature has contributed to the platform’s rapid growth and its widespread adoption. However, this widespread adoption of the Android operating system (OS) has also attracted the attention of malicious actors who develop malware targeting these devices. Andr...

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Bibliographic Details
Main Authors:	Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Access
Subjects:	Android Android malware malware detection supervised machine learning
Online Access:	https://ieeexplore.ieee.org/document/10734108/
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