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Secure Integrated Sensing and Communication for Binary Input Additive White Gaussian Noise Channels
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0313-7788
Georgia Inst Technol, GA USA.
Tech Univ Dresden, Germany.
Ohio State Univ, OH USA.
2023 (English)In: 2023 IEEE 3RD INTERNATIONAL SYMPOSIUM ON JOINT COMMUNICATIONS & SENSING, JC&S, IEEE , 2023Conference paper, Published paper (Refereed)
Abstract [en]

We study a secure integrated sensing and communication (ISAC) model motivated by the need to simultaneously exploit the sensitive attributes of wireless devices, such as their location, and communicate securely. Specifically, we consider a state-dependent binary-input two-user additive white Gaussian noise (AWGN) broadcast channel, in which the channel state sequence consists of two components, each affecting a receiver, modeled as independent and identically distributed (i.i.d.) correlated phase shifts to approximate the location-dependent signatures of the receivers. The objective of the transmitter is to simultaneously estimate the channel states while reliably transmitting a secret message to one of the receivers, treating the other as a passive attacker. We characterize the exact secrecy-distortion region when 1) the channel output feedback is perfect, i.e., noiseless with a unit time delay; and 2) the channel is degraded. The characterized rate region offers an outer bound for more complex secure ISAC settings with noisy generalized output feedback and non-degraded channels. We also characterize the secrecy-distortion region for reversely-degraded channels. The results illustrate the benefits of jointly sensing the channel state and securely communicating messages as compared to separation-based methods.

Place, publisher, year, edition, pages
IEEE , 2023.
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-196947DOI: 10.1109/JCS57290.2023.10107461ISI: 001004155900005ISBN: 9798350345681 (electronic)ISBN: 9798350345698 (print)OAI: oai:DiVA.org:liu-196947DiVA, id: diva2:1792455
Conference
IEEE 3rd International Symposium on Joint Communications and Sensing (JC and S), Seefeld, AUSTRIA, mar 05-07, 2023
Note

Funding Agencies|German Federal Ministry of Education and Research (BMBF) [16KISK001K, 16KIS1004, 16KIS1242]

Available from: 2023-08-29 Created: 2023-08-29 Last updated: 2023-08-29

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Total: 58 hits
CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf