Dimitrova, R., Gazda, M., Mousavi, M.R. et al. (2 more authors) (2020) Conformance-based doping detection for cyber-physical systems. In: Gotsman, A. and Sokolova, A., (eds.) Formal Techniques for Distributed Objects, Components, and Systems. 40th IFIP WG 6.1 International Conference on Formal Techniques for Distributed Objects, Components, and Systems, FORTE 2020, 15-19 Jun 2020, Valletta, Malta. Lecture Notes in Computer Science (12136). Springer International Publishing , pp. 59-77. ISBN 9783030500856
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.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2020 The Author(s). This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Jun 2020 13:54 |
Last Modified: | 18 Jun 2020 13:54 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-50086-3_4 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162067 |
Download
Filename: Dimitrova2020_Chapter_Conformance-BasedDopingDetecti.pdf
Licence: CC-BY 4.0