1 publication

• Published Subscription Review Article 12 May 2025

  Analysis and Identification of Malicious Mobile Applications Using Machines Learning

  By Kala R., Alagu Lakshmi L., Aswathi U., Libi Bharani T., Sudharshana V.

  Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …

  Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article →