ORIGINAL RESEARCH article
Front. Blockchain
Sec. Blockchain Security and Privacy
This article is part of the Research TopicSecure Convergence of Blockchain and Artificial Intelligence: Innovations, Threats, and Future SafeguardsView all articles
An Anti-Corruption System for Academic Achievement Verification in Kazakhstani Higher Education Using Blockchain and Artificial Intelligence
Provisionally accepted
Abdul Razaque1*
Saule Amanzholova2
Galimkair Mutanov3Olga Ussatova3Mohsin Ali Farhad4Yerlan Kistaubayev3Smagulova Kamilla2
Kopebayev Adilzhan2- 1Arkansas Tech University, Russellville, United States
- 2Astana IT University, Astana, Kazakhstan
- 3Institute of Information and Computational Technologies, Almaty, Kazakhstan
- 4International IT University, Almaty, Kazakhstan
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ABSTRACT This article focuses on developing an anti-corruption system for certifying students' academic achievements in Kazakhstani higher education institutions by utilizing blockchain and artificial intelligence AI technologies. We specifically propose the Academic Integrity Verification System (AIVS), a revolutionary system that combines blockchain's tamper-proof storage with AI's anomaly detection capabilities. The system reduces major risks in traditional academic record management while ensuring transparency, precision, and proactive fraud detection. The simulation was conducted at the International Information Technology University (IITU) using Ethereum-based blockchain and AI models. In simulated testnet experiments, AIVS achieved an 85% reduction in verification time compared to traditional processes and delivered a 95% overall model accuracy in record validation. These results demonstrate the potential of blockchain and AI integration for improving efficiency and integrity in academic verification workflows. These findings demonstrate that our proposed AIVS enhances academic transparency, reduces corruption, and provides a scalable framework for secure academic record management. The proposed strategy marks a significant step forward in the governance of digital education in Kazakhstan and abroad.
Keywords: Academic verification, anti-corruption, artificial intelligence, Blockchain, cybersecurity, Data integrity, higher education
Received: 11 Aug 2025; Accepted: 06 Nov 2025.
Copyright: © 2025 Razaque, Amanzholova, Mutanov, Ussatova, Farhad, Kistaubayev, Kamilla and Adilzhan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Abdul Razaque, arazaque@my.bridgeport.edu
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.