D. A. Mehta

A Critical Review of Android Malware Detection Techniques (2014–2026): Evaluating Static, Dynamic, Hybrid, and Deep Learning Approaches

Over the past decade, Android malware detection has advanced a great deal, yet a persistent gap remains between the accuracy figures reported on benchmarks and what these systems actually achieve once deployed. This paper reviews thirty-one Android malware detection systems and reputation-intelligence platforms publish...