SuperCert - An Anti-Fraud Identity Intelligence Blockchain Solution for Educational Certificates

Authors

  • Akanksha Gairola Computer Engineering Department, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India Author
  • Amira Shaikh Computer Engineering Department, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India Author
  • Shriya Salian Computer Engineering Department, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India Author
  • Shankar Malve Computer Engineering Department, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India Author
  • Mr. Pravin Jangid Assistant Professor, Computer Engineering Department, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India Author

DOI:

https://doi.org/10.32628/CSEIT2410266

Keywords:

Transcript, Verification, Authentication, Confidentiality, Blockchain, Smart Contract, IPFS, Ethereum, Metamask, University

Abstract

In recent years, the proliferation of fraudulent educational certificates has posed significant challenges to academic institutions, employers, and individuals alike. Such certificates not only undermine the credibility of educational achievements but also jeopardize the integrity of various industries. To combat this issue, this research introduces SuperCert, an innovative anti-fraud identity intelligence blockchain solution tailored for educational certificates. SuperCert leverages blockchain technology to establish a decentralized, immutable ledger that securely stores educational credentials. The system incorporates smart contract functionality to automate verification processes, thereby reducing administrative overhead and enhancing efficiency.

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References

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Published

18-03-2024

Issue

Section

Research Articles

How to Cite

[1]
Akanksha Gairola, Amira Shaikh, Shriya Salian, Shankar Malve, and Mr. Pravin Jangid, “SuperCert - An Anti-Fraud Identity Intelligence Blockchain Solution for Educational Certificates”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 2, pp. 541–550, Mar. 2024, doi: 10.32628/CSEIT2410266.

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