| Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01046 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202343001046 | |
| Published online | 06 October 2023 | |
Decentralized and Automated Online Voting System using Blockchain Technology
1 Department of CSE (AI & ML), GRIET, Hyderabad, Telangana State, India
2 Uttaranchal School of Computing Sciences, Uttaranchal University, Dehradun, 248007, India
3 KG Reddy College of Engineering & Technology, Hyderabad, India
* Corresponding author: sanjeeva1690@grietcollege.com
A decentralized and automated online voting system refers to an electronic voting method that leverages Blockchain technology to guarantee both transparency and security. It removes the need for intermediaries, making it more efficient and cost-effective than traditional voting methods. Aim of the paper is to develop an online voting system using Blockchain technology for secure and transparent voting. The proposed approach involves developing a decentralized voting system using Ethereum Blockchain technology. Smart contracts are used to manage the voting process and ensure its integrity. The datasets used in this paper will consist of mock voting data to simulate a real-world scenario. The results and discussions include an analysis of the system’s performance in terms of security, scalability, and usability. Future enhancements include integrating biometric authentication for enhanced security and accessibility.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.