posted on 2023-11-29, 18:05authored bySebastian 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.
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",
}