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Android malware detection using the random forest algorithm

Published in Indonesian Journal of Electrical Engineering and Computer Science • Oct 1, 2024
NobleIDNI4P65W91R88S37
Authors:
Anas El Attaoui
,
Norelislam El Hami
,
Younes Koulou

Abstract

The rapid growth in Android device usage has resulted in a significant increase in malware targeting this platform, posing serious threats to user security and privacy. This research tackles the challenge of Android malware detection by leveraging advanced machine learning techniques, with a particu...

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