Melnyk Oleksii, graduate student of the third (educational and scientific) level of higher education Dmytro Motornyi Tavria State Agrotechnological University, Zaporizhzhia, Ukraine

ORCID ID: 0009-0005-3990-6920
e-mail: alexreetwell@gmail.com

Fraud Risk Assessment in the Payment Segment of the Banking System

Abstract. Introduction. The article summarizes the fraud risk assessment tools that most threaten payment transactions in the credit segment of the banking system. The importance of assessing the stable state of security of the banking system is determined by the subsystem of financial levers and methods of functioning of scoring technologies FinTech and Blockchain, in order to eliminate crisis phenomena in financial institutions caused by illegal actions or inaction of clients when making payment transactions.

Purpose. The purpose of the study is to generalize fraud risk assessment tools that most threaten payment transactions in the credit segment of the banking system.

Results. FinTech and Blockchain scoring technologies, as metaspace tools, prevent fraud risks, taking into account social engineering, quickly identify and block the servers of economic agents that harm other economic entities for their own benefit. The risks of fraud in payment transactions in the banking system of Ukraine are analyzed. Variable factors (parameters) of payment fraud in the banking system of Ukraine are identified. It is proven that the loss of a stable state of security of the banking system is inevitable if it is identified with the catastrophe of loss of profit on credit operations in payment transactions, which arises as a result of a violation of the ratio between the growth rates of income from transaction transfers on loans and the costs of their implementation, caused by the loss (“break”) of connections between information FinTech resources in the system of continuity of functions of variable factors.

Conclusions. It is determined that the variability of the calculation of the integral value of fraud risk in banking theory takes into account several models, which, by scoring, allow obtaining an aggregate result, which gives a general idea of its scale of threat for an individual bank and the banking system as a whole. Descriptive statistics of the variables of the catastrophe model of the collection of fraud risks in payment transactions of the banking system are presented. The rating of the stable state of security of the banking system when eliminating fraud risks is determined, which guarantees the integrity of the system configuration, creates solutions for its cyber protection through metaspace tools – FinTech and Blockchain systems.

Keywords: fraud risks; payment transactions; loans; banking system; security; FinTech resources; Blockchain systems.

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