Open access
Aug 2026
Zero-Shot Cross-Domain Anomaly Detection for Water ICS: A PLC-Based Dataset and Transfer Learning Evaluation Across Heterogeneous Benchmarks
This study proposes a zero-shot cross-domain intrusion detection framework for industrial control systems (ICS) using a canonical feature representation and domain-adversarial learning. While prior approaches relied on labeled target data, the proposed method generalizes across heterogeneous SCADA datasets without targ...
Tosin Akinsowon, Razaq Jinad, Amar Rasheed et al.
· Applied Sciences · 1 citation