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Uncertain wiretap channels and secure estimation
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-0036-9049
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3267-5374
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2016 (English)In: 2016 IEEE International Symposium on Information Theory, Institute of Electrical and Electronics Engineers (IEEE), 2016, 2004-2008 p.Conference paper (Refereed)
Abstract [en]

The zero-error secrecy capacity of uncertain wiretap channels is defined. If the sensor-estimator channel is perfect, it is also calculated. Further properties are discussed. The problem of estimating a dynamical system with nonstochastic disturbances is studied where the sensor is connected to the estimator and an eavesdropper via an uncertain wiretap channel. The estimator should obtain a uniformly bounded estimation error whereas the eavesdropper's error should tend to infinity. It is proved that the system can be estimated securely if the zero-error capacity of the sensor-estimator channel is strictly larger than the logarithm of the system's unstable pole and the zero-error secrecy capacity of the uncertain wiretap channel is positive.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 2004-2008 p.
Series
IEEE International Symposium on Information Theory, ISSN 2157-8095
Keyword [en]
Communication channels (information theory), Dynamical systems, Errors, Information theory, Non-stochastic, Uniformly bounded, Wire-tap channels, Zero errors, Zero-error capacity, Estimation
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-194970DOI: 10.1109/ISIT.2016.7541650ISI: 000390098702014ScopusID: 2-s2.0-84985916736ISBN: 9781509018062 (print)OAI: oai:DiVA.org:kth-194970DiVA: diva2:1048256
Conference
2016 IEEE International Symposium on Information Theory, ISIT 2016, Universitat Pompeu Fabra Barcelona, Spain, 10 July 2016 through 15 July 2016
Note

QC 20161121

Available from: 2016-11-21 Created: 2016-11-01 Last updated: 2017-01-27Bibliographically approved

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Wiese, MoritzJohansson, Karl H.Oechtering, Tobias J.Papadimitratos, PanosSandberg, HenrikSkoglund, Mikael
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