Digital Twin Degradation: Detecting Cyber Physical Attacks via Temporal Inconsistencies
Digital Twins (DTs) are increasingly used to monitor and analyze Cyber Physical Systems (CPS). However, in adversarial environments, the fidelity of a DT cannot be assumed. Communication delays, data manipulation, sensor degradation, or partial information loss may cause the DT state to diverge from the physical process it represents. Such divergence creates temporal inconsistencies that may reveal cyber physical attacks. This paper proposes a detection framework that monitors temporal consistency between the physical system and a potentially degraded DT view. A DT predictor is trained exclusively on normal system behavior to model short-term system dynamics. During operation, discrepanci...
| Authors | Konstantinos E. Kampourakis, Vasileios Gkioulos, Sokratis Katsikas |
|---|---|
| Primary category | cs.CR |
| Published | 17 August 2026 |
| Last updated at source | 17 August 2026 |
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