All news

Digital twin for detecting cyber-attacks via temporal anomalies

A method for detecting cyber-physical attacks using digital twins is proposed, based on monitoring temporal inconsistencies between the model and the real system. A predictor trained on normal behavior identifies anomalies via multi-horizon temporal features of prediction residuals.

Why it matters

The news is relevant to modeling agenda as it shows how digital twins can be used to ensure security and integrity of large-scale systems.

Relevant to DT products

Original headline
Digital Twin Degradation: Detecting Cyber Physical Attacks via Temporal Inconsistencies
Read the original: arXiv API — полнотекстовый поиск "digital twin"

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.