ARCHIVES
A Secure and Transparent Voting System Using Blockchain For Decentralized and Reliable Digital Elections
Published Online: March-April 2026
Pages: 444-448
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260702052Abstract
This paper presents a secure and transparent decentralized voting system leveraging blockchain technology to address the limitations of traditional voting methods. Conventional voting systems often suffer from issues such as lack of transparency, susceptibility to tampering, centralized control, and limited voter trust. To overcome these challenges, the proposed system utilizes a distributed ledger framework that ensures immutability, integrity, and verifiability of votes. The system integrates cryptographic hashing and smart contract mechanisms to securely record and validate each vote while preserving voter anonymity. A secure authentication module is implemented to prevent unauthorized access and duplicate voting. Additionally, the use of Ethereum-based infrastructure enables real-time vote tracking and decentralized control, eliminating the need for intermediaries. Experimental analysis demonstrates that the proposed model enhances security, reduces the risk of fraud, and improves overall trust in the electoral process. The system is scalable, efficient, and suitable for deployment in real-world voting scenarios such as elections, organizational polls, and e-governance applications. This work contributes to advancing secure digital voting solutions by combining blockchain technology with robust security protocols.
Related Articles
2026
AI-Based Stomach Cancer Detection Using Biomarkers, Medical Images, and Voice Analysis
2026
Hydrogen-Efficient Eco-Driving and Route Planning for Fuel-Cell Electric Vehicles Using Multi-Objective Optimization Under Traffic and Terrain Uncertainty
2026
A Data-Driven Machine Learning Framework for Assessing Patent Commercial Value and Technological Significance
2026
Evaluating Student Academic Performance Through a Benchmark of Fuzzy Reasoning Models
2026
A Hybrid Soft Computing Approach for Managing Uncertainty in Data Analytics
2026