Artificial intelligence-driven detection of android malware using machine learning techniques

The rapid expansion of Android smartphones and their open-source characteristics have rendered them a primary target for malware attacks, endangering user privacy and device security. With the rise of malware attacks, robust and reliable security is not only wanted but much needed. As the Android ma...

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Bibliographic Details

Main Authors:	Amir Muhammad Hafiz, Othman, Mohd Faizal, Ab Razak, Salwana, Mohamad, Sofia Najwa, Ramli
Format:	Article
Language:	en
Published:	Indonesian Society for Knowledge and Human Development 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/46202/1/Artificial%20Intelligence-Driven%20Detection%20of%20Android%20Malware.pdf https://doi.org/10.18517/ijaseit.15.5.13405 https://umpir.ump.edu.my/id/eprint/46202/
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