Proportional Fair Rate Allocation for Private Shared Networks

TL;DR

This paper explores how to allocate network resources fairly while balancing privacy, throughput, and delay in shared networks vulnerable to traffic analysis, proposing a proportional fairness solution.

Contribution

It introduces a novel utility fairness framework for joint privacy, throughput, and delay trade-offs in shared networks with privacy constraints.

Findings

Derived the proportional fair rate allocation under privacy and delay constraints.

Established a utility fairness model balancing privacy, throughput, and delay.

Provided insights into optimal resource allocation for privacy-preserving shared networks.

Abstract

In this paper, we consider fair privacy in a shared network subject to traffic analysis attacks by an eavesdropper. We initiate the study of the joint trade-off between privacy, throughput and delay in such a shared network as a utility fairness problem and derive the proportional fair rate allocation for networks of flows subject to privacy constraints and delay deadlines.