Secure Integrated Sensing and Communication

• Published in: IEEE journal on selected areas in information theory 2023, Vol.4, p.40-53
• Main Authors: Gunlu, Onur, Bloch, Matthieu R., Schaefer, Rafael F., Yener, Aylin
• Format: Article
• Language: English
• Subjects: Broadcasting; Channel estimation; Communication; Communication networks; future communication networks; Messages; Output feedback; Physical layer security; Reliability; secure integrated sensing and communication; Secure joint communication and sensing; Sensors; State estimation; Transmitters
• ISSN: 2641-8770; 2641-8770
• DOI: 10.1109/JSAIT.2023.3275048

This work considers the problem of mitigating information leakage between communication and sensing in systems jointly performing both operations. Specifically, a discrete memoryless state-dependent broadcast channel model is studied in which (i) the presence of feedback enables a transmitter to convey information, while simultaneously performing channel state estimation; (ii) one of the receivers is treated as an eavesdropper whose state should be estimated but which should remain oblivious to 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 key attribute, e.g., location. For independent and identically distributed 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 partial 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 binary joint communication and sensing models.