An Improved E-voting scheme using Secret Sharing based Secure Multi-party Computation
Divya G. Nair, V. P. Binu, G. Santhosh Kumar

TL;DR
This paper presents an improved e-voting scheme that leverages secret sharing and secure multi-party computation to enhance security, privacy, and reliability in electronic voting systems, ensuring accurate results without compromising voter anonymity.
Contribution
The paper introduces a novel e-voting protocol using secret sharing and SMC with bitwise vote representation, eliminating number-theoretic assumptions for security.
Findings
Secure vote tallying using Shamir's secret sharing scheme
Maintains voter anonymity while ensuring accurate results
No reliance on number-theoretic assumptions for security
Abstract
E-voting systems (EVS)are having potential advantages over many existing voting schemes.Security, transparency, accuracy and reliability are the major concern in these systems.EVS continues to grow as the technology advances.It is inexpensive and efficient as the resources become reusable.Fast and accurate computation of results with voter privacy is the added advantage.In the proposed system we make use of secret sharing technique and secure multi party computation(SMC) to achieve security and reliability.Secret sharing is an important technique used for SMC. Multi-party computation is typically accomplished using secret sharing by making shares of the input and manipulating the shares to compute a typical function of the input.The proposed system make use of bitwise representation of votes and only the shares are used for transmission and computation of result.Secure sum evaluation…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Cryptography and Data Security · Privacy-Preserving Technologies in Data
