Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems

arXiv:2604.25544v1 Announce Type: cross Abstract: Deploying an intrusion detector trained in one industrial plant to another remains difficult because Industrial Control System (ICS) traffic is highly site-dependent, labels are scarce, and unseen attacks often appear after deployment. To address this challenge, this paper introduces a medoid prototype alignment framework for cross-plant unknown attack detection. Instead of aligning all source and target samples directly, the method first compres