Xinlu Li

Feature-Driven Framework for Interpretable Detection and Analysis of Android Malware Through Network and Application Behaviors

This paper presents a complete framework for feature-driven Android malware detection that combines predictive modeling with explainable artificial intelligence to improve classification accuracy, interpretability, and operational dependability. The system initiates by examining network-flow metrics, including Source P...