Coding for Positive Rate in the Source Model Key Agreement Problem

Amin Gohari, Onur Gunlu, Gerhard Kramer

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

A two-party key agreement problem with public discussion, known as the source model problem, is considered. By relating key agreement to hypothesis testing, a new coding scheme is developed that yields a sufficient condition to achieve a positive secret-key (SK) rate in terms of Rényi divergence. The merits of this coding scheme are illustrated by applying it to an erasure model for Eve's side information and by deriving an upper bound on Eve's erasure probabilities for which the SK capacity is zero. This bound strictly improves on the best known single-letter lower bound on the SK capacity. Moreover, the bound is tight when Alice's or Bob's source is binary, which extends a previous result for a doubly symmetric binary source. The results motivate a new measure for the correlation between two random variables which is of independent interest.

Original languageEnglish
Article number9079560
Pages (from-to)6303-6323
Number of pages21
JournalIEEE Transactions on Information Theory
Volume66
Issue number10
DOIs
StatePublished - Oct 2020

Keywords

  • Key agreement
  • Rényi divergence
  • hypothesis testing
  • source model

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