mlsanityData to 14 Oct 2026

Secure and Private Source Coding with Private Key and Decoder Side Information

arXiv 2205.05068 ↗First posted 10 May 2022cs.IT cs.CR cs.IRcited by 0

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Abstract (arXiv)

The problem of secure source coding with multiple terminals is extended by considering a remote source whose noisy measurements are the correlated random variables used for secure source reconstruction. The main additions to the problem include 1) all terminals noncausally observe a noisy measurement of the remote source; 2) a private key is available to all legitimate terminals; 3) the public communication link between the encoder and decoder is rate-limited; and 4) the secrecy leakage to the eavesdropper is measured with respect to the encoder input, whereas the privacy leakage is measured with respect to the remote source. Exact rate regions are characterized for a lossy source coding problem with a private key, remote source, and decoder side information under security, privacy, communication, and distortion constraints. By replacing the distortion constraint with a reliability constraint, we obtain the exact rate region also for the lossless case. Furthermore, the lossy rate region for scalar discrete-time Gaussian sources and measurement channels is established.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 50 references that are in the map. First posted on arXiv 10 May 2022.

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6 of 50 references.

References · 6

  1. 2016Privacy, Secrecy, and Storage with Multiple Noisy Measurements of Identifierscited by 3
  2. 2020Multi-Entity and Multi-Enrollment Key Agreement with Correlated Noisecited by 3
  3. 2020Biometric and Physical Identifiers with Correlated Noise for Controllable Private Authenticationcited by 2
  4. 2021Secure Multi-Function Computation with Private Remote Sourcescited by 2
  5. 2022Function Computation Under Privacy, Secrecy, Distortion, and Communication Constraintscited by 1
  6. 2022Secret Key-based Authentication With Passive Eavesdropper for Scalar Gaussian Sourcescited by 1

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