Zero Knowledge Identification and Verification of Voting Systems

TL;DR

This paper introduces a scalable, cost-effective zero-knowledge voter identification and vote verification system designed for large-scale elections like in India, aiming to improve security and reduce errors in current methods.

Contribution

It proposes a practical zero-knowledge identification and vote verification method suitable for large-scale, resource-constrained election environments.

Findings

Provides a scalable zero-knowledge voter identification scheme.

Ensures vote integrity and verifiability in a trustless manner.

Reduces errors compared to traditional identification methods.

Abstract

Current methods of voter identification, especially in India, are highly primitive and error-prone, depending on verification by (mostly) sight, by highly trusted election officials. This paper attempts to provide a trustless and zero-knowledge method of voter identification, while simultaneously reducing error. It also proposes a method for vote verification, that is, ensuring that the vote cast by a legal voter is registered as cast and tallied as registered. While numerous methods of zero-knowledge identification are available in the literature, very few of those are implementable on a large scale and subject to the type of constraints that are present, eg., in India. This paper attempts to provide a solution which, while preserving the integrity of the available methods, will also be more scalable and cost-effective.