Trustworthy Verification of Academic Credentials through Blockchain Technology
The increasing demand for a secure and transparent mechanism for verifying academic credentials has led to the exploration of blockchain technology (BT) as a viable solution. This paper presents a three-layered application for the reliable verification of academic credentials, leveraging the immutable and decentralized nature of BT. The system includes a data layer (DL), a blockchain layer (BL), and an application layer (AL). The DL records student records, faculty staff records, and credentials. The BL utilizes smart contracts to record and verify academic records, ensuring their authenticity and integrity. The AL provides a userfriendly interface for various stakeholders, such as students, educational institutions, and employers, to communicate with the system. This effort aims to determine how BT can be utilized to enhance the security, transparency, and efficiency of academic credential verification processes. Efficiency in academic credential verification processes ultimately contributes to a more reliable and effective educational ecosystem.
Highlights
Blockchain technology has ushered in a new era of innovation across various sectors, and higher education is no exception [1]
To ensure privacy while enabling the sharing and verification of student credentials, we propose a two-step approach within the blockchain layer (BL) of our system
This paper has explored the transformative potential of blockchain technology (BT) in revolutionizing the management and verification of academic credentials within the higher education sector
Summary
Blockchain technology has ushered in a new era of innovation across various sectors, and higher education is no exception [1]. This technology, known for its decentralized and secure framework, has the potential to transform the way academic records are managed, stored, and verified [2]. Student records, including transcripts, degrees, certificates, and accomplishments, are stored in centralized databases in traditional systems. This setup often leads to issues such as data integrity problems, privacy violations, and time-consuming verification procedures. International Journal of Online and Biomedical Engineering (iJOE), 20(9), pp.
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