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State Estimation Over Markovian Packet Dropping Links in the Presence of an Eavesdropper
Paderborn Univ, Dept Elect Engn EIM E, Paderborn, Germany..
Paderborn Univ, Dept Elect Engn EIM E, Paderborn, Germany..
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.ORCID iD: 0000-0003-0762-5743
2017 (English)In: 2017 IEEE 56Th Annual Conference On Decision And Control (Cdc), IEEE, 2017, p. 6616-6621Conference paper, Published paper (Refereed)
Abstract [en]

Remote state estimation problems in the presence of an eavesdropper have recently been studied. In this setup, a sensor transmits over a random packet dropping link to a remote estimator, which at the same time can be randomly overheard by an eavesdropper. For i.i.d. packet dropping links to the remote estimator and to the eavesdropper, it has been shown that with unstable systems one can keep the expected estimation error covariance bounded, while the expected eavesdropper error covariance becomes unbounded in the infinite horizon. In this paper we show that the same behaviour can be achieved when transmission of local state estimates occur over a Markovian packet dropping link, and eavesdropping occurs according to another Markovian packet dropping link.

Place, publisher, year, edition, pages
IEEE, 2017. p. 6616-6621
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-348328DOI: 10.1109/CDC.2017.8264656ISI: 000424696906052ISBN: 978-1-5090-2873-3 (electronic)OAI: oai:DiVA.org:uu-348328DiVA, id: diva2:1199464
Conference
IEEE 56th Annual Conference on Decision and Control (CDC), DEC 12-15, 2017, Melbourne, AUSTRALIA
Available from: 2018-04-20 Created: 2018-04-20 Last updated: 2018-04-23Bibliographically approved

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Dey, Subhrakanti

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