Causality-driven hybrid intrusion detection with entropy-aware feature learning and federated intelligence
Modern IDSs should be capable of detecting and recognizing new forms of attack traffic (including both attacks from known adversaries) and to do so in ways that remain computational feasible when deployed across multiple, geographically distributed sites. Rule based, representation learning, and federated approaches ha...