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

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Onur Gunlu - , University of Siegen, Linköping University (Author)
  • Rafael F. Schaefer - , University of Siegen (Author)
  • Holger Boche - , Technical University of Munich, Ruhr University Bochum (Author)
  • H. Vincent Poor - , Princeton University (Author)

Abstract

The problem of secure source coding with multiple terminals is extended by considering a remote source whose noisy measurements are the correlated random variables used for secure source reconstruction. The main additions to the problem include 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 also for the lossless case. Furthermore, the lossy rate region for scalar discrete-time Gaussian sources and measurement channels is established.

Details

Original languageEnglish
Title of host publication2022 IEEE Information Theory Workshop, ITW 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages226-231
Number of pages6
ISBN (electronic)978-1-6654-8341-4
Publication statusPublished - 2022
Peer-reviewedYes
Externally publishedYes

Conference

Title2022 IEEE Information Theory Workshop, ITW 2022
Duration1 - 9 November 2022
CityMumbai
CountryIndia

External IDs

ORCID /0000-0002-1702-9075/work/165878336