Cybersecurity #android#malware
MASCOT-Android: Automated Pipeline and Curated Dataset for Android Malware Source Code Discovery
Researchers introduce MASCOT-Android, a curated dataset of Android malware source code and an automated collection framework. The key finding is that repository-level documentation alone provides a strong signal, enabling a LinearSVC classifier to achieve 96.28% accuracy with a 1.06% false positive rate. The model outputs confidence scores for threshold adjustment, making it practical for real-world malware source code collection.
Jun 16, 2026 1 source