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Information × Registration Number 0223U000655, 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 17-01-2023 Organization Sumy State University popup.description2  Scientific and technical production involves the formation of information and mathematical support for the identification and assessment of specific economic relations that arise in the process of corruption and shadowing of the economy based on the use of technologies and methods of intellectual data analysis. In the research process, methods of bibliometric analysis were used (using VOSviewer v.1.6.10 and SciVal by Elsevier tools), methods of economic-mathematical modeling (neural network modeling using multilayer perceptron of MLP architecture, associative rules, autocorrelation analysis, polynomial models of Almon's distributed lag , Stone-Geary utility function), programming. Scientific and technical products provide the following new scientific and applied results: 1) a scientific and methodological approach to the assessment and forecasting of the risk of cyber fraud in the field of financial services has been developed based on the construction of a neural network model; 2) the scientific and methodological approach to evaluating the effectiveness of countering the use of services and/or infrastructure of financial intermediaries for the legalization of criminal income and the implementation of cyber fraud by using the Stone-Geary utility function has been improved; 3) a scientific and methodological approach to assessing the impact of the volatility of digital assets on the level of financial stability of the country was developed based on a systematic combination of autocorrelation functions and Almon's distributed lag polynomial models.; 4) the methodological basis for identifying suspicious fraudulent financial transactions in social networks using methods of network analysis has been improved Product Description popup.authors Bozhenko Andrii S. Bozhenko Viktoriia V. Boiko Anton O. Dolya Yulia V. Docenko Tetiana V. Kil’dei Anastasia D. Kuzmenko Olha V. Kushnerov Oleksandr S. Mynenko Serhii V. Pakhnenko Olena M. Semenoh Andrii Yu Shtefan Artem V. popup.nrat_date 2023-01-17 Close