Abstract
We study secure source-coding with causal disclosure, under the Gaussian distribution. The optimality of Gaussian auxiliary random variables is shown in various scenarios. We explicitly characterize the tradeoff between the rates of communication and secret key. This tradeoff is the result of a mutual information optimization under Markov constraints. As a corollary, we deduce a general formula for Wyner's Common Information in the Gaussian setting.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 116-120 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781467377041 |
| DOIs | |
| State | Published - Sep 28 2015 |
| Event | IEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong Duration: Jun 14 2015 → Jun 19 2015 |
Publication series
| Name | IEEE International Symposium on Information Theory - Proceedings |
|---|---|
| Volume | 2015-June |
| ISSN (Print) | 2157-8095 |
Other
| Other | IEEE International Symposium on Information Theory, ISIT 2015 |
|---|---|
| Country | Hong Kong |
| City | Hong Kong |
| Period | 6/14/15 → 6/19/15 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Information Systems
- Modeling and Simulation
- Applied Mathematics
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Cite this
Satpathy, S., & Cuff, P. (2015). Gaussian secure source coding and Wyner's Common Information. In Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015 (pp. 116-120). [7282428] (IEEE International Symposium on Information Theory - Proceedings; Vol. 2015-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2015.7282428