Gaussian Secure Source Coding and Wyner's Common Information
Information Theory
2015-06-16 v2 math.IT
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.
Cite
@article{arxiv.1506.00193,
title = {Gaussian Secure Source Coding and Wyner's Common Information},
author = {Sanket Satpathy and Paul Cuff},
journal= {arXiv preprint arXiv:1506.00193},
year = {2015}
}
Comments
ISIT 2015, 5 pages, uses IEEEtran.cls