The application of machine learning to anomaly detection Anomaly detection has long been a focus in data mining, which laid the groundwork for many modern ML approaches. Foundational works in data ...

Industrial Control Systems (ICSs) are integral to critical infrastructure and industrial processes, making their security paramount. As ICSs become increasingly interconnected, they are vulnerable to ...

Tensor representation (TR) can sensitively perceive the inherent prior structure of hyperspectral images, showing broad prospects in hyperspectral anomaly detection (HAD). However, current models are ...