Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
---|---|---|
Article Number | 03038 | |
Number of page(s) | 5 | |
Section | Computing | |
DOI | https://doi.org/10.1051/itmconf/20203203038 | |
Published online | 29 July 2020 |
Integrity and Authenticity of Academic Documents Using Blockchain Approach
1 Ramrao Adik Institute of Technology, Nerul
2 Ramrao Adik Institute of Technology, Nerul
3 Ramrao Adik Institute of Technology, Nerul
4 Ramrao Adik Institute of Technology, Nerul
* e-mail: rane.mukul@gmail.com
** e-mail: singh.shubham.16ce1034@gmail.com
*** e-mail: rohansingh8174@gmail.com
**** e-mail: vidhate.amarsinh@gmail.com
Blockchain has a strong capacity to monitor and retain educational records. The paperless future has yet to become a reality, even with the ability to digitally generate documents. Physical copy of records are still regularly printed which makes them susceptible to document fraud. Thus, the issue of fake certificates and academic records has risen drastically. In this paper, we have made a reliable verification method to avoid academic frauds. The idea presented here is developed over Hyperledger. The University or The Educational Institute is responsible for issuing the certificates, mark-sheets, transcripts, etc. and mining it over the blockchain. The student is provided with the hash number which is the reference number. This number serves the reference of the data. The Organization or the Industry Personal using the hash number checks for the integrity of the submitted document. The present study discusses about importance of block chain and it’s applicability especially for the applications like verification of Academic Records.
Key words: Blockchain / Hyperledger / Academic Record Verification / Secure Hash Algorithm (SHA-256)
© The Authors, published by EDP Sciences, 2020
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.