Secure Source Coding Resilient Against Compromised Users via an Access Structure
<|reference_start|>Secure Source Coding Resilient Against Compromised Users via an Access Structure: Consider a source and multiple users who observe the independent and identically distributed (i.i.d.) copies of correlated Gaussian random variables. The source wishes to compress its observations and store the result in a public database such that (i) authorized sets of users are able to reconstruct the source with a certain distortion level, and (ii) information leakage to non-authorized sets of colluding users is minimized. In other words, the recovery of the source is restricted to a predefined access structure. The main result of this paper is a closed-form characterization of the fundamental trade-off between the source coding rate and the information leakage rate. As an example, threshold access structures are studied, i.e., the case where any set of at least $t$ users is able to reconstruct the source with some predefined distortion level and the information leakage at any set of users with a size smaller than $t$ is minimized.<|reference_end|>
@article{zivarifard2024secure,
    title={Secure Source Coding Resilient Against Compromised Users via an Access
  Structure},
    author={Hassan ZivariFard and Remi A. Chou},
    journal={arXiv preprint arXiv:2407.20901},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.20901},
    primaryClass={cs.IT math.IT}
}