arXiv · 2212.06388
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.
Explore related subjects
Keep this discovery
Arunava Gantait, Rajit Goyal, Syed Sajid Husain Rizvi, Zaira Haram. 2022-12-13. Zero Knowledge Identification and Verification of Voting Systems. https://arxiv.org/abs/2212.06388
Cite the original work for its findings. Save a collection to share your selection of sources.