Pairwise Secret Key Agreement based on Location-derived Common Randomness

TL;DR

This paper investigates secret key sharing among three users using location-derived common randomness, providing bounds on capacity regions and analyzing a Gaussian observation model for practical localization-based key agreement.

Contribution

It introduces a new framework for pairwise secret key agreement utilizing location-based observations and derives capacity bounds for this setup.

Findings

Inner bound on secret key capacity region established

Analysis of Gaussian observation model for localization-based keys

Practical insights into location-derived secret key sharing

Abstract

A source model of key sharing between three users is considered in which each pair of them wishes to agree on a secret key hidden from the remaining user. There are rate-limited public channels for communications between the users. We give an inner bound on the secret key capacity region in this framework. Moreover, we investigate a practical setup in which localization information of the users as the correlated observations are exploited to share pairwise keys between the users. The inner and outer bounds of the key capacity region are analyzed in this setup for the case of i.i.d. Gaussian observations.