A State-of-the-Art Survey of Adversarial Reinforcement Learning for IoT Intrusion Detection
Qasem S. Abu Al-Haija, Shahad Altamimi · Computers, materials & continua/Computers, materials & continua (Print) · 2025
Adversarial Reinforcement Learning (ARL) models for intelligent devices and Network Intrusion Detection Systems (NIDS) improve system resilience against sophisticated cyber-attacks. As a core component of ARL, Adversarial Tra... | Find, read and cite all the research you need on Tech Science Press