Digital Twin Degradation: Detecting Cyber Physical Attacks via Temporal Inconsistencies
Quick summary
arXiv:2608.16159v1 Announce Type: cross Abstract: 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 d
Key takeaways
- arXiv:2608.16159v1 Announce Type: cross Abstract: 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.
Why it matters
“Digital Twin Degradation: Detecting Cyber Physical Attacks via Temporal Inconsistencies” shows why AI risk cannot be reduced to answer accuracy. Access controls, logging, human approval and incident response need to be designed into the workflow from the start.
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