A Comparative Study of Explainable (XAI) Deep and Ensemble Learning Models for a Web Application Firewall Using the FWAF Dataset
This study benchmarks machine learning (ML) and deep learning models for intrusion detection using the publicly available FWAF dataset, and emphasizes the value of balancing performance with interpretability, empowering Security Operations Centers (SOC) to validate automated decisions and foster trustworthy AI-driven w...