Muhammad Hassan

Optimizing Android Malware Detection with Joint Feature Selection and Hidden Node Tuning: A BIGSA-HNO-ELM Framework

This work proposes a unified malware detection framework that integrates Binary Improved Gravitational Search Algorithm for robust feature selection with Hidden Node Optimization (HNO) applied to an Extreme Learning Machine (ELM) classifier, making BIGSA-HNO-ELM a compelling solution for modern Android malware detectio...