Paper

Attack Detection using Time Series Foundation Models

arXiv:2606.06347v1 Announce Type: cross Abstract: This paper addresses the problem of attack detection in cyber-physical systems without any knowledge of the plant model or its structure. A remotely located plant transmits sensor measurements to an operator over a network that is assumed to be under attack. We consider two classes of attacks: model-free replay attacks and model-based stealthy attacks. For the latter, we derive closed-form expressions for the optimal stealthy attack policy against a $\chi^2$ detector, for both linear and nonlinear systems. We then propose a model-structure-fre…

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