Tag: industrial control systems

Computer scientists have developed a split-parameter federated learning framework that successfully detects cyberattacks across structurally incompatible IT, operational technology, and ...

A new graph neural network framework called EGNN expands rare attack samples and uses threshold-controlled pseudo-labeling to improve intrusion detection ...

University of British Columbia researchers have shown that hackers can disrupt water and energy infrastructure by analyzing encrypted traffic patterns ...

Researchers at the University of Tabriz have developed GCAT, a graph-convolutional adversarial transformer that detects anomalies in multivariate sensor data ...

Researchers have developed a graph-enhanced bidirectional GRU model that detected 44 of 45 simulated anomalies in a realistic power generation ...

Researchers in Xi'an have developed an information-theory-based anomaly detection method that outperforms state-of-the-art algorithms on critical industrial control system benchmarks.