HFS-SVE: A Hybrid Feature Selection and Soft Voting Ensemble for Android Malware Detection
Android malware continues to evolve in complexity, creating challenges for detection systems that must distinguish malicious applications from increasingly heterogeneous benign applications. Although machine learning provides effective mechanisms for learning malware characteristics, the high dimensionality of Android...