Curtis Rookard

Adversarial Asymmetric Agents for Network Intrusion Detection Using Deep Reinforcement Learning

Machine learning-based network intrusion detection systems (NIDS) increasingly operate in environments where adversaries can adapt their behavior in response to deployed defenses. However, most empirical IDS studies evaluate defenders against static, dataset-defined attack distributions and do not explicitly model an a...