Zero Knowledge Identification and Verification of Voting Systems
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.
Keywords
Cite
@article{arxiv.2212.06388,
title = {Zero Knowledge Identification and Verification of Voting Systems},
author = {Arunava Gantait and Rajit Goyal and Syed Sajid Husain Rizvi and Zaira Haram},
journal= {arXiv preprint arXiv:2212.06388},
year = {2022}
}
Comments
11 pages, 4 figures, 1 table