EFFECTIVENESS OF AI-BASED FINTECH SYSTEMS IN DETECTING AND PREVENTING FINANCIAL FRAUD

Authors

  • Maxmudov Anvarjon Maxmudovich,Tursunboyev Og'abek Otabek o'g'li,Tursunboyev Asadbek Otabek o'g'li Fergana State Technical University, Senior Lecturer, PhD,Fergana State Technical University, 2nd-year student,Student at Fergana District Secondary School No. 8

Keywords:

fraud, artificial intelligence, biometric authentication, phishing, security.

Abstract

 The article analyzes modern forms of fraud, their methods, and prevention strategies in the context of digital banking development. Additionally, the significance of artificial intelligence and biometric technologies is highlighted.

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References

Law of the Republic of Uzbekistan "On Payments and Payment Systems." – Tashkent, 2019.

Central Bank of the Republic of Uzbekistan. "Annual Report on the Development of Digital Banking Services in Uzbekistan," 2024.

Ministry of Information Technologies and Communications Development of the Republic of Uzbekistan. "Cybersecurity Concept," 2023.

Strategy of the President of the Republic of Uzbekistan "Digital Uzbekistan – 2030."

Official Website of the Central Bank of the Republic of Uzbekistan – www.cbu.uz State Statistics Committee. "Digital Economy Indicators," 2024.

European Banking Authority (EBA). "Guidelines on Fraud Reporting and Management under the Payment Services Directive 2 (PSD2)," 2023.

Financial Action Task Force (FATF). "Guidance on Digital Identity and Financial Crime Prevention," 2023.

Russell S., Norvig P. "Artificial Intelligence: A Modern Approach." – Pearson, 2021.

Goodfellow I., Bengio Y., Courville A. "Deep Learning." – MIT Press, 2016.

IBM Corporation. "AI in Financial Fraud Detection Report," 2023.

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Published

2026-04-24

How to Cite

Maxmudov Anvarjon Maxmudovich,Tursunboyev Og'abek Otabek o'g'li,Tursunboyev Asadbek Otabek o'g'li. (2026). EFFECTIVENESS OF AI-BASED FINTECH SYSTEMS IN DETECTING AND PREVENTING FINANCIAL FRAUD. Journal of Applied Science and Social Science, 16(4), 1110–1113. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/4173

Issue

Vol. 16 No. 4 (2026): Journal of Applied Science and Social Science

Section

Articles

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