Kasedullah, Mohammad and Karmaker, Shuvo and Arafat, Md. Saeelan and Sabil, Sal and Sarker, Md Shahabul Islam and Afiat, Apurba (2025) Energizing blockchain and Artificial Intelligence for enhanced fraud detection in modern banking systems. International Journal of Science and Research Archive, 16 (1). pp. 613-621. ISSN 2582-8185
Abstract
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.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/ijsra.2025.16.1.2070 |
Uncontrolled Keywords: | Blockchain; Artificial Intelligence; Fraud Detection; Banking Security; Financial Technology; Real-Time Analytics |
Date Deposited: | 01 Sep 2025 12:14 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/4399 |