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A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning
Sumathy Krishnan1, Surendran Rajendran2, Mohammad Zakariah3
1Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Chennai, 602105, India.
Scientific Reports
|July 2, 2025
Summary
This study introduces a blockchain-based system using a novel TCRN model to combat accreditation fraud. The secure platform enhances credential verification accuracy and efficiency, ensuring global recognition of academic qualifications.
Area of Science:
- Computer Science
- Educational Technology
- Information Security
Background:
- Current accreditation and equivalency verification systems are often inefficient, costly, and opaque.
- Credential fraud poses a significant challenge to the integrity of educational qualifications.
- There is a need for a secure, transparent, and efficient system for verifying academic credentials.
Purpose of the Study:
- To develop a secured blockchain-based prototype for Accreditation and Equivalency certification.
- To mitigate credential and equivalency frauds using advanced technological solutions.
- To establish a globally reliable foundation for academic credential comparability and recognition.
Main Methods:
- Proposed a novel transformer-based convolutional recurrent network (TCRN) for automated equivalency estimation.
- Utilized Bi-GRU, Depth-wise separable convolutions (DSC), and BERT within TCRN for comprehensive analysis.
- Implemented an enhanced MD5 hash and Merkle Mountain Range (MMR) for data integrity and utilized the Cerberus++ network for efficient verification via QR codes.
Main Results:
- The TCRN model demonstrated over 95% accuracy in estimating academic equivalency.
- The blockchain-based system ensures data integrity and mitigates credential fraud effectively.
- The Cerberus++ network enables resource-efficient, real-time verification of credentials.
Conclusions:
- The developed blockchain-based system offers a secure and efficient solution for accreditation and equivalency verification.
- The novel TCRN model significantly enhances the accuracy and automation of the equivalency estimation process.
- The platform facilitates global comparability of grading scales and promotes seamless transfer and recognition of academic credentials.