dVoting Using Blockchain Technology

The paper discusses dVoting, a decentralized application (dApp) based on the Ethereum blockchain, designed to address the challenges of traditional voting systems, such as voter fraud, manipulation, and lack of transparency. dVoting leverages blockchain's key features, including voter anonymity, decentralized management, immutable vote records, and real time result transparency, to enhance election security and accessibility. Using smart contracts, dVoting ensures tamperproof processes for every stage of an election, from voter registration to result compilation. Administrators initiate the system, verify registrations, and manage elections, while voters interact via a secure, user-friendly interface. Results are automatically aggregated, minimizing the risk of human error. The study outlines the technical setup using tools like Node.js, Truffle, and Ganache, and highlights implementation challenges such as scalability and usability. A case study demonstrates dVoting's effectiveness in conducting small-scale elections, showing increased voter confidence and system integrity. However, it emphasizes the need for enhancements, including automated verification, multi-election support, and improved voter authentication methods. The conclusion underscores blockchain's potential to revolutionize global electoral systems. Future work involves integrating dVoting into governmental frameworks, refining the user experience for broader adoption, and optimizing the platform for large-scale elections, positioning it as a transformative tool for modern democracy.

Authors

Institutions

Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1109/netcrypt65877.2025.11102754
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

dVoting Using Blockchain Technology

Rohit Kumar Singh, Darsh Verma, Anupma Upadhyay, Arvind Kumar
Blockchain Technology Applications and Security
article

dVoting Using Blockchain Technology

Rohit Kumar Singh, Darsh Verma, Anupma Upadhyay, Arvind Kumar
article en

Abstract

The paper discusses dVoting, a decentralized application (dApp) based on the Ethereum blockchain, designed to address the challenges of traditional voting systems, such as voter fraud, manipulation, and lack of transparency. dVoting leverages blockchain's key features, including voter anonymity, decentralized management, immutable vote records, and real time result transparency, to enhance election security and accessibility. Using smart contracts, dVoting ensures tamperproof processes for every stage of an election, from voter registration to result compilation. Administrators initiate the system, verify registrations, and manage elections, while voters interact via a secure, user-friendly interface. Results are automatically aggregated, minimizing the risk of human error. The study outlines the technical setup using tools like Node.js, Truffle, and Ganache, and highlights implementation challenges such as scalability and usability. A case study demonstrates dVoting's effectiveness in conducting small-scale elections, showing increased voter confidence and system integrity. However, it emphasizes the need for enhancements, including automated verification, multi-election support, and improved voter authentication methods. The conclusion underscores blockchain's potential to revolutionize global electoral systems. Future work involves integrating dVoting into governmental frameworks, refining the user experience for broader adoption, and optimizing the platform for large-scale elections, positioning it as a transformative tool for modern democracy.

Galgotias University (IN)
Openalex Percentile: Top 69%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.