Secure Joint Communication and Sensing
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Beitragende
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
Originalsprache | Englisch |
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Titel | 2022 IEEE International Symposium on Information Theory, ISIT 2022 |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 844-849 |
Seitenumfang | 6 |
ISBN (elektronisch) | 978-1-6654-2159-1 |
Publikationsstatus | Veröffentlicht - 2022 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | IEEE International Symposium on Information Theory |
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Band | 2022-June |
ISSN | 2157-8095 |
Konferenz
Titel | 2022 IEEE International Symposium on Information Theory, ISIT 2022 |
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Dauer | 26 Juni - 1 Juli 2022 |
Stadt | Espoo |
Land | Finnland |
Externe IDs
ORCID | /0000-0002-1702-9075/work/165878257 |
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