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Enhancing Academic Credentials: The Synergy of Blockchain and Artificial Intelligence
Tetovo University, Albania.ORCID iD: 0000-0002-8247-8520
Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Linnaeus Knowledge Environments, Digital Transformations.ORCID iD: 0000-0001-7520-695x
University Ss. Cyril and Methodius, North Macedonia.ORCID iD: 0000-0002-4131-7413
University Ss. Cyril and Methodius, North Macedonia.
2024 (English)In: 2024 7th International Balkan Conference on Communications and Networking (BalkanCom), Institute of Electrical and Electronics Engineers (IEEE), 2024Conference paper, Published paper (Refereed)
Sustainable development
SDG 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
Abstract [en]

The integration of Artificial Intelligence (AI) and blockchain technology (BT) into diploma generation and verification systems enables the digitalization of services in higher education institutions (HEI). These technologies have the potential to prevent misuse, protect identity and privacy, decentralize services, and automate processes. AI employs advanced pattern recognition and anomaly detection algorithms to ensure the integrity of academic certificates stored on the blockchain. By using smart contracts on the blockchain, artificial intelligence algorithms may automate and optimize the verification process, thereby diminishing the administrative load linked to validating academic qualifications. This review paper provides insights into how AI-driven algorithms can streamline the generation of digital diplomas, enhance authentication mechanisms, and mitigate fraudulent activities. Additionally, it highlights the potential of AI-powered analytics for optimizing blockchain-based systems, facilitating seamless interoperability, and ensuring trustworthiness in academic credential verification. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024.
Keywords [en]
Artificial Intelligence (AI), Blockchain system, Machine learning, Diploma generation and verification, Security, Transparency
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-130743DOI: 10.1109/BalkanCom61808.2024.10557185Scopus ID: 2-s2.0-85197413302ISBN: 9798350365955 (electronic)OAI: oai:DiVA.org:lnu-130743DiVA, id: diva2:1873126
Conference
2024 7th International Balkan Conference on Communications and Networking (BalkanCom)
Available from: 2024-06-18 Created: 2024-06-18 Last updated: 2025-02-11Bibliographically approved

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Dalipi, Fisnik

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Rustemi, AvniDalipi, FisnikAtanasovski, Vladimir
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CiteExportLink to record
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