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Deep Feature Extraction and Classification of Android Malware Images.

Jaiteg Singh1, Deepak Thakur1, Farman Ali2

  • 1Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India.

Sensors (Basel, Switzerland)
|December 11, 2020
PubMed
Summary

A new method, SARVOTAM, uses deep learning and image visualization to identify Android malware. The CNN-SVM model achieved 92.59% accuracy, offering a precise and lightweight solution for malware identification.

Failed At:

2026-06-19T13:38:49.441405+00:00

Keywords:
androidclassificationconvolutional neural networkmalwaresecurityvisualization

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