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Information × Registration Number 0224U000612, 0121U100467 , R & D reports Title Data Mining for Countering Cyber Fraud and Money Laundering in the Context of Digitalization of the Financial Sector of the Ukrainian Economy popup.stage_title Head Kuzmenko Olha V., Доктор економічних наук Registration Date 10-01-2024 Organization Sumy State University popup.description2  The scientific and technical products involve the formation of information and mathematical support for the identification and assessment of specific economic relations that arise between public authorities, business entities and citizens in the process of preventing, detecting and eliminating the consequences of cyber incidents. The study used the methods of cluster, variance analysis and classification tree; support vector method; neural network model; transformed multiplicative Keene convolution; and Almon's polynomial distributed lag model. The scientific and technical products include the following new scientific and applied results: 1) a scientific and methodological approach to assessing the discrete lagged impact of cyber fraud on the level of customer trust using the polynomial distributed Almon lag model; 2) scientific and methodological approach to identifying critical areas of cyber threats to the financial sector of Ukraine; 3) scientific and methodological approach to assessing the level of efficiency of investigating money laundering crimes using the Kaplan-Meier survival analysis method; 4) the methodology for typologising countries by the level of participation of their residents in committing financial fraud by building classification trees using the CART one-dimensional branching method has been improved; 5) the methodology for formalising the factors of rapid spread of cyber threats based on the construction of a sigmoid model using SVM machine learning methods has been improved; 6) the methodology for integral assessment of cyber vulnerability of financial services consumers has been proposed by systematically combining principal component analysis, generalised Product Description popup.authors Yefimenko Alina Yu. Bozhenko Andrii S. Bozhenko Viktoriia V. Boiko Anton O. Garbar Yana S. Dolya Yulia V. Docenko Tetiana V. Drozd Sergey A. Kil’dei Anastasia D. Kochneva Valeria O. Kuzmenko Olha V. Kushnerov Oleksandr S. Lukianova Vladyslava I. Mynenko Serhii V. Mordan Yevgeniya Yu. Ozarenko Valery V. Pihul Yevhenii Yu. Pasko Denis V. Pakhnenko Olena M. Andrii Y. Semenoh Sytnyk Nataliia O. Teslik Nataliya M. Shramko Elina V. Shtefan Artem V. popup.nrat_date 2024-01-10 Close
R & D report
Head: Kuzmenko Olha V.. Data Mining for Countering Cyber Fraud and Money Laundering in the Context of Digitalization of the Financial Sector of the Ukrainian Economy. (popup.stage: ). Sumy State University. № 0224U000612
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Updated: 2026-03-28