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Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection

🗓️ 30 Jul 2025 00:00:00Reported by Radi Jarrar, David Mohaisen, Ahmed Sabbah, Samer ZeinType 
packetstormnews
 packetstormnews🔗 packetstorm.news👁 2 Views

Concept drift widely impacts ML Android malware detection across feature types and environments; LLMs with few-shot learning help but do not fully mitigate drift.

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30 Jul 2025 00:00Current
6.9Medium risk
Vulners AI Score6.9
concept driftandroid malwaremachine learningstatic featuresdynamic featureshybrid featuressemantic featuresimage featuresfew shot learning
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