Android malware detection using random forest algorithm

The proliferation of mobile devices and their dependence on the android OS has made them prime targets for cybercriminals, leading to an escalating threat of malware. This study addresses the growing need for effective malware detection methods by exploring the application of machine learning (ML)...

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Bibliographic Details
Main Authors: Samson Isaac, Abdullahi Tanimu, Mohammed Shamsuddeen Tukur, Jacob Isaac, Amina Bala Ja'afaru
Format: Article
Language:English
Published: FLAYOO PUBLISHING HOUSE LIMITED 2025-05-01
Series:Proceedings of the Nigerian Society of Physical Sciences
Subjects:
Online Access:https://flayoophl.com/journals/index.php/pnspsc/article/view/178
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