A Privacy-Preserving E-Voting System Using Blockchain and Linkable Ring Signatures

In this work we propose a privacy-preserving, blockchain-enabled e-voting system that integrates Linkable Ring Signatures (LRS) to ensure a secure, scalable, and privacypreserving solution for modern e-voting, providing a framework for trusted and transparent electoral processes in the digital age. Our system ensures voter anonymity while preventing double voting through the use of a linkability tag, while blockchain technology is employed to provide an immutable and transparent ledger for vote recording. The InterPlanetary File System (IPFS) is utilized for decentralized and GDPR-compliant storage of public keys. Performance analysis shows scalability challenges for LRS in large elections, but the system remains efficient for small scale use. Future work will focus on optimizing scalability for larger deployments.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/ic3it63743.2024.10869355
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
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A Privacy-Preserving E-Voting System Using Blockchain and Linkable Ring Signatures

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A Privacy-Preserving E-Voting System Using Blockchain and Linkable Ring Signatures

Saber Benharzallah, Ahmed‐Sami Berkani, Tahar Kechadi, Hamouma Moumen, Youssouf Achouri
article en

Abstract

In this work we propose a privacy-preserving, blockchain-enabled e-voting system that integrates Linkable Ring Signatures (LRS) to ensure a secure, scalable, and privacypreserving solution for modern e-voting, providing a framework for trusted and transparent electoral processes in the digital age. Our system ensures voter anonymity while preventing double voting through the use of a linkability tag, while blockchain technology is employed to provide an immutable and transparent ledger for vote recording. The InterPlanetary File System (IPFS) is utilized for decentralized and GDPR-compliant storage of public keys. Performance analysis shows scalability challenges for LRS in large elections, but the system remains efficient for small scale use. Future work will focus on optimizing scalability for larger deployments.

University College Dublin (IE), University of Batna 1 (DZ)
Openalex Percentile: Top 75%
Internet Traffic Analysis and Secure E-voting
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