Evaluating Explainable Hybrid Intrusion Detection Models Under Zero-Day Conditions
The study demonstrates that integrating deep learning with stable explainable AI offers a practical and trustworthy solution for zero-day intrusion detection, contributing validated evidence to an area where explanation reliability is rarely examined.
Sumayyamol Mukkil Muhammed Ismail, M. Ahmed, S. Begum
· Applied Informatics · 0 citations