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Conformance Relations and Hyperproperties for Doping Detection in Time and Space

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posted on 2023-11-29, 18:05 authored by Sebastian Biewer, Rayna DimitrovaRayna Dimitrova, Michael Fries, Maciej Gazda, Thomas Heinze, Holger Hermanns, Mohammad Reza Mousavi
We present a novel and generalised notion of doping cleanness for cyber-physical systems that allows for perturbing the inputs and observing the perturbed outputs both in the time-- and value--domains. We instantiate our definition using existing notions of conformance for cyber-physical systems. As a formal basis for monitoring conformance-based cleanness, we develop the temporal logic HyperSTL*, an extension of Signal Temporal Logics with trace quantifiers and a freeze operator. We show that our generalised definitions are essential in a data-driven method for doping detection and apply our definitions to a case study concerning diesel emission tests.<p></p>

History

Preferred Citation

Sebastian Biewer, Rayna Dimitrova, Michael Fries, Maciej Gazda, Thomas Heinze, Holger Hermanns and Mohammad Mousavi. Conformance Relations and Hyperproperties for Doping Detection in Time and Space. In: Logical Methods in Computer Science. 2022.

Primary Research Area

  • Threat Detection and Defenses

Legacy Posted Date

2022-01-20

Journal

Logical Methods in Computer Science

Open Access Type

  • Gold

Sub Type

  • Article

BibTeX

@article{cispa_all_3540, title = "Conformance Relations and Hyperproperties for Doping Detection in Time and Space", author = "Biewer, Sebastian and Dimitrova, Rayna and Fries, Michael and Gazda, Maciej and Heinze, Thomas and Hermanns, Holger and Mousavi, Mohammad Reza", journal="{Logical Methods in Computer Science}", year="2022", }

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