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Data Injection Attacks against Feedforward Controllers
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.ORCID iD: 0000-0001-5491-4068
2019 (English)In: 2019 18Th European Control Conference (ECC), IEEE, 2019, p. 2233-2239Conference paper, Published paper (Refereed)
Abstract [en]

This paper studies data injection attacks on disturbance measurements, which are forwarded to a feedforward controller. Fundamental limitations to the detectability of such attacks are examined, from which a class of stealthy attacks are characterized in terms of the zero dynamics of the plant and disturbance models. The impact of such attacks to the plant output and state estimates is also examined, in both cases of perfect and imperfect disturbance rejection by the feedforward controller. The analysis shows that, under perfect rejection, the impact of stealthy attacks on the plant output is exponentially decaying, while an exponentially increasing bias is induced on the state estimation error. The results are illustrated through numerical examples.

Place, publisher, year, edition, pages
IEEE, 2019. p. 2233-2239
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-396476DOI: 10.23919/ECC.2019.8796027ISI: 000490488302042ISBN: 978-3-907144-00-8 (electronic)OAI: oai:DiVA.org:uu-396476DiVA, id: diva2:1369357
Conference
18th European Control Conference (ECC), Naples, Italy, June 25-28, 2019
Funder
Swedish Research Council, 2018-04396Available from: 2019-11-11 Created: 2019-11-11 Last updated: 2020-04-28Bibliographically approved

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Teixeira, André M.H.

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