Verifcation of Academic Records using Hyperledger Fabric and IPFS

Shaik, Khaleelullah (2023) Verifcation of Academic Records using Hyperledger Fabric and IPFS. In: Verifcation of Academic Records using Hyperledger Fabric and IPFS, "19-06-2023 to 20-06-2023", Salem, Tamil Nadu,.

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Abstract

Document forgery has become a significant concern recently due to the rapid development of modern technology and
the simplicity of obtaining inexpensive, cutting-edge workplace supplies. Numerous cases of academic certificate fraud have been documented due to the lack of an effective anti-forgery system. Due to the lack of an effective anti-forgery system, incidents that result in the academic certificate being faked are frequently observed. As a result, methods for educational credential verification and authentication are becoming more
and more necessary. Blockchain technology offers a promising
solution for creating a secure, transparent, and immutable
system for storing and verifying academic records. This paper
proposes a permissioned blockchain-based system for verifying
academic records using Hyperledger Fabric and InterPlanetary
File System(IPFS). Hyperledger Fabric is a distributed ledger
platform that supports smart contracts and private transactions
among authorized participants. IPFS is a peer-to-peer file system
that enables decentralized data storage and retrieval. The system
allows academic institutions to issue digital certificates to their
graduates and store them on IPFS. The hash of the certificates
is then recorded on the Hyperledger Fabric blockchain. When
a process is started to check if an academic certificate is real,
the credentials are pulled from the off-chain database, and their
hashes are generated. This hash is then compared to a hash that
is already on the Blockchain. The suggested model completely
satisfies all digital document verification system requirements
by addressing the shortcomings and challenges in the current
document verification methods.

Item Type: Conference or Workshop Item (Paper)
Subjects: I Artificial Intelligence and Machine Learning > I4 Image Processing
I Artificial Intelligence and Machine Learning > I5 Data Mining
I Artificial Intelligence and Machine Learning > I7 Block Chain
Departments: Information Technology
Depositing User: Mr V Chowdary B
Date Deposited: 04 Mar 2024 03:58
Last Modified: 04 Mar 2024 03:58
URI: https://ir.vignanits.ac.in/id/eprint/62

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