Explainable AI and Machine Learning Framework for Cyber Threat Detection and Adaptive Defense Systems
Advanced persistent threats, zero-day exploits, encrypted command-and-control traffic, and botnet campaigns continue to reduce the reliability of conventional intrusion detection systems because static detectors provide limited transparency and weak adaptation under traffic drift. This paper presents an explainable and...