Sebastian Biewer ; Rayna Dimitrova ; Michael Fries ; Maciej Gazda ; Thomas Heinze et al.
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Conformance Relations and Hyperproperties for Doping Detection in Time
and Space
Sebastian Biewer;Rayna 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.
Power to the People. Verified.; Funder: European Commission; Code: 695614
Bibliographic References
2 Documents citing this article
Mohammad Reza Mousavi;Ana Cavalcanti;Michael Fisher;Louise Dennis;Rob Hierons;et al., 2023, Trustworthy Autonomous Systems Through Verifiability, Durham Research Online (Durham University), 56, 2, pp. 40-47, 10.1109/mc.2022.3192206, https://dro.dur.ac.uk/36849/1/36849.pdf.