1 Varendra University.
2 Daffodil International University.
3 University of Chittagong.
4 University of Dhaka.
5 BRAC University.
International Journal of Science and Research Archive, 2025, 16(01), 613-621
Article DOI: 10.30574/ijsra.2025.16.1.2070
Received on 01 June 2025; revised on 05 July 2025; accepted on 08 July 2025
This paper explores the synergistic integration of blockchain and Artificial Intelligence (AI) to enhance fraud detection in modern banking systems. By leveraging blockchain’s immutable ledger and AI’s advanced pattern recognition capabilities, financial institutions can achieve real-time, transparent, and accurate identification of fraudulent activities. This integration not only strengthens security and trust but also addresses challenges related to data privacy, regulatory compliance, and evolving fraud tactics. The study highlights the transformative potential of combining these technologies to create resilient and adaptive fraud prevention frameworks in the banking sector.
Blockchain; Artificial Intelligence; Fraud Detection; Banking Security; Financial Technology; Real-Time Analytics
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Mohammad Kasedullah, Shuvo Karmaker, Md. Saeelan Arafat , Sal Sabil, Md Shahabul Islam Sarker and Apurba Afiat. Energizing blockchain and Artificial Intelligence for enhanced fraud detection in modern banking systems. International Journal of Science and Research Archive, 2025, 16(01), 613-621. Article DOI: https://doi.org/10.30574/ijsra.2025.16.1.2070.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
