2022
DOI: 10.1155/2022/1830201
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An Android Malware Detection Leveraging Machine Learning

Abstract: Android applications have recently witnessed a pronounced progress, making them among the fastest growing technological fields to thrive and advance. However, such level of growth does not evolve without some cost. This particularly involves increased security threats that the underlying applications and their users usually fall prey to. As malware becomes increasingly more capable of penetrating these applications and exploiting them in suspicious actions, the need for active research endeavors to counter the… Show more

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Cited by 15 publications
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References 37 publications
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