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The CEO Problem with Secrecy Constraints
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-9853-2608
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2014 (English)In: 2014 IEEE International Symposium onĀ Information Theory (ISIT), IEEE , 2014, 756-760 p.Conference paper, Published paper (Refereed)
Abstract [en]

A lossy source coding problem with secrecy constraints is considered where a remote information source should be transmitted to a single destination via multiple agents in the presence of an eavesdropper. The agents observe noisy versions of the source and independently encode and transmit their observations to the destination via noiseless rate-limited links. Unbeknownst to the agents, an eavesdropper intercepts one of the links from the agents to the destination to learn as much as possible about the source. The destination should estimate the remote source subject to a mean distortion threshold. This problem can be viewed as the CEO problem with addition of secrecy constraints. We establish inner and outer bounds on the rate-distortion-equivocation region. In addition, we provide the optimal rate-distortion-equivocation region for the quadratic Gaussian case when the eavesdropper has no side information.

Place, publisher, year, edition, pages
IEEE , 2014. 756-760 p.
Series
IEEE International Symposium on Information Theory - Proceedings, ISSN 2157-8095
Keyword [en]
Electric distortion, Signal distortion, Information sources, Lossy source coding, Mean distortions, Multiple agents, Noisy versions, Quadratic Gaussian, Remote sources, Side information
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-159554DOI: 10.1109/ISIT.2014.6874934ISI: 000346496100150Scopus ID: 2-s2.0-84906536509ISBN: 978-1-4799-5186-4 (print)OAI: oai:DiVA.org:kth-159554DiVA: diva2:785581
Conference
2014 IEEE International Symposium on Information Theory, ISIT 2014, Honolulu, HI, United States, 29 June 2014 through 4 July 2014
Note

QC 20150227

Available from: 2015-02-03 Created: 2015-02-03 Last updated: 2015-02-27Bibliographically approved

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Naghibi, FarshadSkoglund, Mikael

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