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  • Günlü, OnurLinköpings universitet,Informationskodning,Tekniska fakulteten (author)

Private Key and Decoder Side Information for Secure and Private Source Coding

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-11-24
  • MDPI,2022
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-191391
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191391URI
  • https://doi.org/10.3390/e24121716DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Funding Agencies|ZENITH Research and Career Development Fund; ELLIIT by the Swedish government; German Federal Ministry of Education and Research (BMBF) [16KIS1004, 16KISK002, 16KISK001K, 16KISQ037K]; German Research Foundation (DFG) [EXC-2092 CASA-390781972]; U.S. National Science Foundation (NSF) [CCF-1908308]
  • We extend the problem of secure source coding by considering a remote source whose noisy measurements are correlated random variables used for secure source reconstruction. The main additions to the problem are as follows: (1) all terminals noncausally observe a noisy measurement of the remote source; (2) a private key is available to all legitimate terminals; (3) the public communication link between the encoder and decoder is rate-limited; and (4) the secrecy leakage to the eavesdropper is measured with respect to the encoder input, whereas the privacy leakage is measured with respect to the remote source. Exact rate regions are characterized for a lossy source coding problem with a private key, remote source, and decoder side information under security, privacy, communication, and distortion constraints. By replacing the distortion constraint with a reliability constraint, we obtain the exact rate region for the lossless case as well. Furthermore, the lossy rate region for scalar discrete-time Gaussian sources and measurement channels is established. An achievable lossy rate region that can be numerically computed is also provided for binary-input multiple additive discrete-time Gaussian noise measurement channels.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Schaefer, Rafael F.Tech Univ Dresden, Germany; Tech Univ Dresden, Germany (author)
  • Boche, HolgerTech Univ Munich, Germany; Ruhr Univ Bochum, Germany; Tech Univ Munich, Germany; Munich Ctr Quantum Sci & Technol MCQST, Germany (author)
  • Poor, Harold VincentPrinceton Univ, NJ 08544 USA (author)
  • Linköpings universitetInformationskodning (creator_code:org_t)

Related titles

  • In:Entropy: MDPI24:121099-4300

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  • Entropy (Search for host publication in LIBRIS)

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Günlü, Onur
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ENGINEERING AND TECHNOLOGY
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Entropy
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