Laurens D’hooge

Bridging Training–Deployment Gap in Intrusion Detection With Source-Free Domain Adaptation

Machine learning (ML)–based intrusion detection systems (IDS) frequently degrade when deployed across heterogeneous networks due to domain shifts in traffic composition and monitoring configurations. Conventional domain adaptation (DA) methods mitigate this issue by aligning source and target distributions, but they of...