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March 19, 2026Scientific ReportsOpen Access

Federated deep blockchain-based system for secure verification of academic transcripts and matching study plans in Saudi universities

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Authors

MAMansoor AlghamdiSMSami MnasriAHAhmad B. Hassanat

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Overview

This system verifies academic documents in universities, improving efficiency and accuracy of matching study plans.

Key Points

  • The aim is to develop a secure deep blockchain system for verifying and matching academic transcripts and study plans among Saudi universities.
  • Implemented a blockchain-based system to verify transcripts and degrees.
  • Used ARABBERTV2 for semantic extraction from academic documents.
  • Applied dimensionality reduction and classification on extracted data.
  • Utilized federated learning for model improvement while maintaining data privacy.
  • Achieved 98.13% classification accuracy and a Kappa statistic of 0.9784.
  • Improved model performance using federated learning—accuracy increased from 93.5% to 95.6%.
  • AUC-ROC improved from 0.947 to 0.972, indicating better classification performance.
  • Reduced variance in performance across different universities.

Cite This Study

Alghamdi et al. (2026) studied this question.

synapsesocial.com/papers/69bb92d1496e729e629805dchttps://doi.org/10.1038/s41598-026-43328-8
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