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.
@article{arxiv.2012.03910,
title = {Conformance Relations and Hyperproperties for Doping Detection in Time and Space},
author = {Sebastian Biewer and Rayna Dimitrova and Michael Fries and Maciej Gazda and Thomas Heinze and Holger Hermanns and Mohammad Reza Mousavi},
journal= {arXiv preprint arXiv:2012.03910},
year = {2023}
}