Luyao Wang

The paper proposes a clustering-enhanced domain adaptation method that significantly improves cross-domain intrusion detection in industrial control systems by aligning feature distributions and enhancing correlation estimation.

The paper proposes a medoid prototype alignment framework to enable robust unknown attack detection when transferring intrusion detectors between different industrial plants, achieving high performance across various transfer tasks.