ISSN : 2663-2187

UNVEILING ANDROID THREATS: MALWARE IDENTIFICATION THROUGH MACHINE LEARNING

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Dr K P MANIKANDAN, CHATAKONDA SRI NIDHI, MAVALURI KEERTHANA, DERANGULA ROOPA, DONGALA VISHNU VARDHAN REDDY
ยป doi: 10.33472/AFJBS.6.8.2024.471-481

Abstract

Today, Android stands as one of the most prevalent operating systems in the realm of smartphone technology. This prominence has rendered Android a prime target for cybercriminals. Malicious entities are adeptly embedding harmful code into Android applications, making the detection of malware an increasingly formidable challenge for security experts.

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