Secure Joint Communication and Sensing

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

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

OriginalspracheEnglisch
Titel2022 IEEE International Symposium on Information Theory, ISIT 2022
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten844-849
Seitenumfang6
ISBN (elektronisch)978-1-6654-2159-1
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheIEEE International Symposium on Information Theory
Band2022-June
ISSN2157-8095

Konferenz

Titel2022 IEEE International Symposium on Information Theory, ISIT 2022
Dauer26 Juni - 1 Juli 2022
StadtEspoo
LandFinnland

Externe IDs

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