CredVerify: Implementation and Validation of an Academic Certificate Verification Framework Using Blockchain

Abstract

Academic certificate manipulation has proven to be a major obstacle in educational and corporate sectors, compromising trust and reliability in traditional document verification methods. CredVerify is proposed as a blockchain-based academic certificate verification system that provides transparency, originality, and protection from unauthorized manipulation. The system uses smart contracts to store cryptographic hash values and important certificate data on a decentralized storage ledger. Authorized bodies like colleges can safely issue academic documents, while companies and third parties like employers can verify them instantly without any lengthy processes. A prototype of CredVerify was implemented to check its practicality and real-world adaptability. It was tested under various conditions to assess its performance, validation speed, and efficiency. Experimental results show that CredVerify greatly lessens the time required for verification compared to existing traditional verification systems. It also enhances security as it prevents certificate tampering and unauthorized modifications. The blockchain-based design eliminates dependence on centralized storage systems and improves trust amongst all concerned parties. Overall, CredVerify provides a scalable, secure, fast, and efficient system for academic certificate verification

Introduction

This paper proposes CredVerify, a blockchain-based academic certificate verification system designed to address the growing problem of forged academic credentials. Traditional certificate verification methods rely on centralized databases and manual processes, making them slow, vulnerable to data breaches, unauthorized access, and document tampering. CredVerify leverages blockchain technology, smart contracts, cryptographic hashing, and digital signatures to provide secure, transparent, and tamper-proof certificate issuance and instant verification.

The system involves four key stakeholders: the college, which issues certificates; the accreditation authority, which verifies and attests their authenticity; the blockchain, which stores immutable certificate hashes and transaction records; and the employer, who verifies certificates during recruitment. Students act as certificate owners, controlling how their credentials are shared. Smart contracts automate certificate issuance, validation, storage, and revocation while enforcing access control and reducing dependence on third parties.

CredVerify uses cryptographic hash generation to create a unique digital fingerprint for each certificate, ensuring that any modification immediately invalidates the document. Digital signature verification confirms that certificates are issued by authorized institutions, while the blockchain consensus mechanism guarantees that only verified transactions are permanently recorded. During verification, the submitted certificate's hash is compared with the stored blockchain hash to instantly determine its authenticity.

The proposed system follows a flowchart-driven execution model, ensuring a structured workflow from certificate issuance and attestation to blockchain storage and employer verification. Smart contracts automate each stage, preventing unauthorized certificate issuance and ensuring that only validated certificates are stored on the blockchain. This sequential process minimizes errors, improves transparency, and enhances coordination among stakeholders.

Conclusion

CredVerify successfully shows how blockchain can be used for creating safer and more efficient academic certificate verification frameworks. The system implementation makes sure that all certificate records remain immutable and transparent using smart contracts. It also significantly reduces the chances of fraud and tampering by using a decentralized blockchain framework instead of a traditional centralized one. The results of the experimental prototype prove that CredVerify has better and faster verification performance compared to traditional frameworks. Overall, the model proposes a faster, better, and more scalable solution to the problem of academic certificate verification.

References

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Copyright

Copyright © 2026 Sarvesh Baban Pawar, Gaurav Narayan Shevkar, Dhanashri Ramesh Shinde, Gayatri Ashok Somase, Priti Shivaji Lahane. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.