Secure Joint Communication and Sensing

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

Contributors

  • Onur Günlü - , University of Siegen (Author)
  • Matthieu Bloch - , Georgia Institute of Technology (Author)
  • Rafael F. Schaefer - , University of Siegen (Author)
  • Aylin Yener - , Ohio State University (Author)

Abstract

This work considers mitigation of information leakage between communication and sensing operations in joint communication and sensing systems. Specifically, a discrete memoryless state-dependent broadcast channel model is studied in which (i) the presence of feedback enables a transmitter to simultaneously achieve reliable communication and channel state estimation; (ii) one of the receivers is treated as an eavesdropper whose state should be estimated but which should remain oblivious to a part of the transmitted information. The model abstracts the challenges behind security for joint communication and sensing if one views the channel state as a characteristic of the receiver, e.g., its location. For independent and identically distributed (i.i.d.) states, perfect output feedback, and when part of the transmitted message should be kept secret, a partial characterization of the secrecy-distortion region is developed. The characterization is exact when the broadcast channel is either physically-degraded or reversely-physically-degraded. The characterization is also extended to the situation in which the entire transmitted message should be kept secret. The benefits of a joint approach compared to separation-based secure communication and state-sensing methods are illustrated with a binary joint communication and sensing model.

Details

Original languageEnglish
Title of host publication2022 IEEE International Symposium on Information Theory, ISIT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages844-849
Number of pages6
ISBN (electronic)978-1-6654-2159-1
Publication statusPublished - 2022
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesIEEE International Symposium on Information Theory
Volume2022-June
ISSN2157-8095

Conference

Title2022 IEEE International Symposium on Information Theory, ISIT 2022
Duration26 June - 1 July 2022
CityEspoo
CountryFinland

External IDs

ORCID /0000-0002-1702-9075/work/165878257