Interpretable and Adaptive Intrusion Detection Using SHAP-Enhanced Ensemble Learning and Feature Attribution for Next-Generation Cybersecurity
The speed of cyberattack evolution and the growing sophistication of new attacks have revealed critical limitations of traditional IDS, specifically in terms of adaptability and interpretability. Although modern machine learning models are highly accurate at detection, their black-box nature makes them opaque, reducing...