| Issue |
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 5 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20224403005 | |
| Published online | 05 May 2022 | |
College Election System using Blockchain
1 Department of Information Technology, SIES Graduate School of Technology, Nerul, Navi Mumbai, India
2 Department of Information Technology, SIES Graduate School of Technology, Nerul, Navi Mumbai, India
3 Department of Information Technology, SIES Graduate School of Technology, Nerul, Navi Mumbai, India
4 Department of Information Technology, SIES Graduate School of Technology, Nerul, Navi Mumbai, India
* Corresponding author: aanchal.ganeshmani18@siesgst.ac.in
Blockchain is a distributed system that confirms security and reliability. It has started a new era of a solid and consensus system. Because of blockchain's emphasis on security, many other operations and processes are adopting the same reliable approach. Almost all processes and operations are now encouraged to be computed electronically in the digital Ethereum network that has been presented. In the current situation, we have seen what the conduction of elections has done to the worsening situation of the Covid-19 Pandemic. The proposed system uses an Ethereum network on a blockchain platform to implement a college voting system, making use of the Aadhar API. E-voting will help to support transparency and voters' trust to reduce corruption and unreliability in the voting processes. The use of this system will allow a voter to vote from home while also having the assurity that this process is completely secure and reliable due to the use of blockchain technology.
© The Authors, published by EDP Sciences, 2022
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.