An anti-corruption system for academic achievement verification in kazakhstani higher education using blockchain and artificial intelligence

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.

Authors

Publication Details

Journal
Frontiers in Blockchain
Published
2025-12-03
DOI
https://doi.org/10.3389/fbloc.2025.1683522
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

An anti-corruption system for academic achievement verification in kazakhstani higher education using blockchain and artificial intelligence

Yerlan Kistaubayev, Olga Ussatova, Abdul Razaque, Galimkair Mutanov et al.
Frontiers in Blockchain
Blockchain Technology Applications and Security
article

An anti-corruption system for academic achievement verification in kazakhstani higher education using blockchain and artificial intelligence

Yerlan Kistaubayev, Olga Ussatova, Abdul Razaque, Galimkair Mutanov, Sushanta Kumar Kamilla, Saule Amanzholova, Kopebayev Adilzhan
article en

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.

Frontiers in BlockchainVol. 8
Openalex Percentile: Top 49%
Blockchain Technology Applications and Security
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An anti-corruption system for academic achievement verification in kazakhstani higher education using blockchain and artificial intelligence — Yerlan Kistaubayev, Olga Ussatova, et al. · Frontiers in Blockchain (2025) | TGRS Research Map | TGRS