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Blockchain ensuring academic integrity with a degree verification prototype.

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This study introduces a blockchain prototype for secure academic credential verification, enhancing educational data integrity. The system ensures authenticity and traceability, reducing academic fraud through decentralized record management.

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Area of Science:

  • Computer Science
  • Information Technology
  • Education Technology

Background:

  • Blockchain technology offers decentralization, security, and immutability for information management.
  • A notable gap exists in applying blockchain for issuing and verifying educational professional qualifications.
  • Existing systems lack robust mechanisms for ensuring the authenticity and traceability of academic credentials.

Purpose of the Study:

  • To present a prototype for guaranteeing the authenticity and traceability of academic credentials using a hybrid blockchain network.
  • To demonstrate the feasibility of a decentralized system for managing and verifying educational qualifications.
  • To address the challenge of academic fraud through secure and verifiable credential issuance.

Main Methods:

  • Development of a prototype using Python and Docker, featuring a hybrid blockchain network with six Docker nodes.
  • Implementation of processes including initial data registration, node configuration, and credential generation with QR codes.
  • Utilization of an associative signature based on Byzantine consensus for validating and authenticating records during the signing stage.
  • Establishment of a peer-to-peer network for synchronization, decentralized storage, and immutability of records.

Main Results:

  • Initial title registration averaged 2.97 seconds, with block replication at 0.02 seconds.
  • Record signing latency was 0.96 seconds, with replication at 0.79 seconds; Byzantine consensus took 0.12 seconds.
  • The system demonstrated moderate resource consumption while ensuring credential integrity and verifiability via QR codes.
  • The prototype successfully reinforced trust and showed potential for reducing academic fraud.

Conclusions:

  • The developed blockchain model provides a practical and scalable solution for authenticating and tracing academic credentials.
  • The system effectively enhances trust in educational qualifications and mitigates the risk of academic fraud.
  • The model holds potential for adaptation to other sectors requiring secure and verifiable record management, with future work focusing on scalability and robustness.