A Hybrid Deep Reinforcement Learning Framework for Enhanced Cyber Threat Detection Using Supervised Ensemble Decision Fusion
Conventional intrusion detection systems (IDSs) face increasing complexity in network traffic and unpredictable cyberattacks, particularly with fixed supervised classifiers and ambiguous observations. This study introduces DRL-ECTD (Deep Reinforcement Learning-Enhanced Cyber Threat Detector), a hybrid binary IDS that c...