A hybrid fuzzy logic-driven behavioral intrusion detection architecture integrating fuzzy clustering and adaptive machine learning for Zero-Trust networks
In current Zero-Trust architectures, detecting behavioral intrusions has become critical because traditional rule-based access control systems struggle to combat polymorphic, low-and-slow, and identity-spoofing attacks. Although machine learning technologies have advanced intrusion detection through behavioral pattern...