Towards Better Privacy-preserving Electronic Voting System

TL;DR

This paper introduces two privacy-preserving electronic voting methods, BSV and HEV, analyzing their strengths and limitations, and proposes sampling to improve HEV's scalability through simulation studies.

Contribution

It presents novel approaches for privacy-preserving voting, compares their properties, and enhances HEV scalability using sampling techniques.

Findings

BSV is simple, stable, and scalable but needs anonymous communication.

HEV protects against traffic analysis and malicious cooperation but has limited scalability.

Sampling improves HEV's scalability in simulations.

Abstract

This paper presents two approaches of privacy-preserving voting system: Blind Signature-based Voting (BSV) and Homorphic Encryption Based Voting (HEV). BSV is simple, stable, and scalable, but requires additional anonymous property in the communication with the blockchain. HEV simultaneously protects voting privacy against traffic-analysis attacks, prevents cooperation interruption by malicious voters with a high probability, but the scalability is limited. We further apply sampling to mitigate the scalability problem in HEV and simulate the performance under different voting group size and number of samples.