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Detection of Sensor Data Injection Attacks with Multiplicative Watermarking
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.ORCID iD: 0000-0001-5491-4068
Delft Tech Univ, Delft Ctr Syst & Controls, Delft, Netherlands.
2018 (English)In: 2018 European Control Conference (ECC), IEEE, 2018, p. 345-350Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, the problem of detecting stealthy false-data injection attacks on the measurements is considered. We propose a multiplicative watermarking scheme, where each sensor's output is individually fed to a SISO watermark generator whose parameters are supposed to be unknown to the adversary. Under such a scenario, the detectability properties of the attack are analyzed and guidelines for designing the watermarking filters are derived. Fundamental limitations to the case of single-output systems are also uncovered, for which an alternative approach is proposed. The results are illustrated through numerical examples.

Place, publisher, year, edition, pages
IEEE, 2018. p. 345-350
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-363579DOI: 10.23919/ECC.2018.8550114ISI: 000467725300057ISBN: 978-3-9524-2698-2 (electronic)OAI: oai:DiVA.org:uu-363579DiVA, id: diva2:1256984
Conference
European Control Conference, Limassol, Cyprus, June 12-15, 2018
Funder
EU, FP7, Seventh Framework Programme, 608224EU, Horizon 2020, 707546Available from: 2018-10-18 Created: 2018-10-18 Last updated: 2019-06-20Bibliographically approved

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Teixeira, André

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