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Conformance-based doping detection for cyber-physical systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020) 12136 LNCS 59-77
DOI: 10.1007/978-3-030-50086-3_4
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Abstract

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. 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.

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APA

Dimitrova, R., Gazda, M., Mousavi, M. R., Biewer, S., & Hermanns, H. (2020). Conformance-based doping detection for cyber-physical systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12136 LNCS, pp. 59–77). Springer. https://doi.org/10.1007/978-3-030-50086-3_4

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