AndroMD: An Android malware detection framework based on source code analysis and permission scanning

doi:10.1016/j.rineng.2025.107050

AndroMD: An Android malware detection framework based on source code analysis and permission scanning

2025-09-10

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Wael Mohammad Alenazy

DOI：10.1016/j.rineng.2025.107050

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Abstract

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• Proposed an automated dataset construction approach. • Analyzed 600,298 Android apps, created large malware datasets. • Propose a novel feature selection technique. • Proposed aggregator-based malware detection approach. • Developed in-house apps for live AndroMD evaluation experiments.

Keywords:

Malware analysis

Machine learning

Feature selection

Cybersecurity

Android malware dataset

AndroMD: An Android malware detection framework based on source code analysis and permission scanning

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