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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58686
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Due to institutional digitization efforts, digital credentials are now widely used in professional certifications and education. They increase efficiency and accessibility, but they raise issues with security and authenticity because digital tools make it simple to create fake certificates. These problems make it difficult for institutions and employers to use standard verification procedures. Current systems rely on manual reviews, institutional checks, or centralised databases, all of which are laborious, prone to errors, and susceptible to manipulation or interruptions. Many existing technologies are unable to offer verification that is safe, transparent, and impervious to tampering. This study suggests a blockchain-based method for identifying fraudulent certificates. Smart contracts store cryptographic hashes of certificates along with timestamps and issuer information. Verifiers can authenticate documents by comparing their hashes with on-chain records, administrators can manage issuer authorizations, and institutions can issue certificates using specific blockchain addresses. This framework integrates a blockchain network with a web application to support issuance and verification functionalities. Its effectiveness in detecting fraudulent certificates while preserving tamper-proof records is confirmed by empirical evaluations. In conclusion, this framework provides a strong, scalable way to reduce certificate fraud, increase confidence in digital credentials, and highlight the benefits of blockchain technology.
KEYWORDS
Publication Date
3/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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