A scientific study on fraud detection in electronic payments using machine learning methods

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dc.contributor.authorShmatko, O. V.
dc.contributor.authorAntypin, I.
dc.contributor.authorШматко, О. В.
dc.date.accessioned2025-08-29T09:32:33Z
dc.date.issued2025
dc.description.abstractElectronic payment systems have transformed financial transactions, offering efficiency and convenience. However, with their increasing adoption, the risks of fraudulent activities have grown. Fraudsters exploit vulnerabilities in digital payment platforms, necessitating the development of sophisticated fraud detection mechanisms. Traditional security measures are often reactive rather than proactive, making them inadequate in preventing real-time financial crimes.
dc.identifier.citationShmatko O. V., Antypin I. A scientific study on fraud detection in electronic payments using machine learning methods. Modern Science, Economy and Digital Innovation : Collection of Scientific Papers 2nd International Scientific and Practical Conference (March 12-14, 2025 Bucharest, Romania). 2025. Р. 70- 73.
dc.identifier.citation Shmatko, O. V., Antypin, I. (2025). A scientific study on fraud detection in electronic payments using machine learning methods. Modern Science, Economy and Digital Innovation : Collection of Scientific Papers 2nd International Scientific and Practical Conference (March 12-14, 2025 Bucharest, Romania), 70- 73.
dc.identifier.urihttps://dspace.mipolytech.education/handle/mip/2358
dc.language.isoen
dc.publisherInternational Scientific Unity
dc.titleA scientific study on fraud detection in electronic payments using machine learning methods
dc.typeThesis

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