ENSURING CYBERSECURITY IN BANKING CARDS: GLOBAL RISK TRANSFORMATION AND FOREIGN MODELS
Keywords:
cybersecurity, banking card security, digital payment systems, EMV technology, Strong Customer Authentication (SCA), fraud monitoring, artificial intelligence, risk management, skimming.Abstract
This article examines the issue of ensuring cybersecurity in banking card systems from the perspective of global risk transformation. In the context of the digital economy, payment infrastructure is evolving into not only a technological domain but also a strategic risk center. Drawing on the models of the United States, the European Union, Singapore, and Japan, the study explores cyber risk management architecture, institutional coordination, proactive monitoring systems, and the concept of digital trust. The paper proposes an integrated model for ensuring banking card security based on the formula “technology + regulation + risk analytics + human capital.”
cybersecurity, banking card security, digital payment systems, EMV technology, Strong Customer Authentication (SCA), fraud monitoring, artificial intelligence, risk management, skimming.
References
Aldasoro, I., Gambacorta, L., Giudici, P., & Leach, T. (2020). The drivers of cyber risk. BIS Working Papers, No. 865. Bank for International Settlements.
Arcuri, M. C., & Brogi, M. (2021). Cyber risk and ESG performance: Evidence from the financial sector. Sustainability, 13(18), 10243. https://doi.org/10.3390/su131810243
Böhme, R., & Moore, T. (2012). The economics of cybersecurity: Principles and policy options. International Journal of Critical Infrastructure Protection, 5(3–4), 123–134. https://doi.org/10.1016/j.ijcip.2012.09.002
Bouveret, A. (2019). Cyber risk for the financial sector: A framework for quantitative assessment. IMF Working Paper, WP/18/143. International Monetary Fund.
Carstens, A. (2021). Digital currencies and the future of the monetary system. BIS Speech. Bank for International Settlements.
Cavusoglu, H., Mishra, B., & Raghunathan, S. (2004). The effect of Internet security breach announcements on market value: Capital market reactions for breached firms and Internet security developers. International Journal of Electronic Commerce, 9(1), 69–104. https://doi.org/10.1080/10864415.2004.11044320
Claessens, S., Frost, J., Turner, G., & Zhu, F. (2018). Fintech credit markets around the world: Size, drivers and policy issues. BIS Quarterly Review, September.
Conti, M., Lal, C., & Ruj, S. (2018). A survey on security and privacy issues of blockchain technology. IEEE Communications Surveys & Tutorials, 20(4), 3416–3452. https://doi.org/10.1109/COMST.2018.2842460
European Central Bank. (2021). Card fraud statistics 2020. European Central Bank.
Farooq, U., Tabash, M. I., Mamadiyarov, Z., Issa, S. S., & Aldawsari, S. H. (2025). Sustainable financial strategies: the role of intellectual capital in shaping corporate cash holdings. International Journal of Organizational Analysis, 1-19.
Federal Reserve. (2022). FraudClassifier model annual report. Federal Reserve System.
Gai, K., & Qiu, M. (2018). Blend arithmetic operations on tensor-based fully homomorphic encryption over real numbers. IEEE Transactions on Industrial Informatics, 14(8), 3590–3598. https://doi.org/10.1109/TII.2018.2797065
Herley, C. (2014). The economics of phishing. Proceedings of the Workshop on the Economics of Information Security (WEIS).
Johnson, M. E. (2015). Managing cybersecurity risk: An examination of risk perception and security investment. Journal of Cybersecurity, 1(1), 1–10. https://doi.org/10.1093/cybsec/tyv002
Jurgovsky, J., Granitzer, M., Ziegler, K., Calabretto, S., Portier, P. E., He-Guelton, L., & Caelen, O. (2018). Sequence classification for credit-card fraud detection. Expert Systems with Applications, 100, 234–245. https://doi.org/10.1016/j.eswa.2018.01.037
Kosse, A. (2013). Do newspaper articles on card fraud affect debit card usage? Journal of Banking & Finance, 37(12), 5382–5391. https://doi.org/10.1016/j.jbankfin.2013.04.009
Levitin, A. J. (2018). Pandora’s digital box: The promise and perils of digital wallets. University of Pennsylvania Law Review, 166(2), 305–369.
Litamahuputty, J. V., Amiruddin, E. G., Rahim, R., Rahman, A., & Mamadiyarov, Z. (2025). Cryptocurrency Risk Management through Decision Engineering: Evaluating XRPUSD and ADAUSD Portfolio Performance. Journal of Applied Science, Engineering, Technology, and Education, 7(1), 69-81. https://doi.org/10.35877/454RI.asci3871
Mamadiyarov, Z., Hakimov, H., & Askarov, S. (2024). DEVELOPMENT OF RETAIL BANKING SERVICES IN THE CONTEXT OF DIGITAL TRANSFORMATION. Financial and Credit Activity Problems of Theory and Practice, 1(54), 51–67. https://doi.org/10.55643/fcaptp.1.54.2024.4288
Mamadiyarov, Z., & Karimov, K. (2024). Tijorat banklarida kredit riski va uni boshqarish usullari. Страховой рынок Узбекистана, 1(6), 57-60.
Mamadiyarov, Z. (2020). Prospects for the development of remote banking services in the context of Bank Transformation. The American Journal of Applied Sciences, 2(07), 108-118.
Milne, A. (2016). Competition and innovation in payment systems: The case of open banking. Journal of Payments Strategy & Systems, 10(4), 345–356.
Moore, T., & Clayton, R. (2017). The impact of public information on cybercrime markets. Journal of Cybersecurity, 3(2), 77–91. https://doi.org/10.1093/cybsec/tyx007
Ravikumar, R. N., Aarthi, S., & Mamadiyarov, Z. (2026). Mitigating Risks Through AI-Powered Fraud Detection Systems in Digital Banking. In Innovating Cost-Efficient and Scalable Business Models in the Digital Era (pp. 343-376). IGI Global Scientific Publishing.
Xu, Y., Hu, Y., & Zhang, C. (2019). Credit card fraud detection using deep learning. Computers & Security, 88, 101640. https://doi.org/10.1016/j.cose.2019.101640
Zhou, T., Zhang, X., & Liu, Y. (2018). Mobile payment security and biometric authentication: A systematic review. Information Systems Frontiers, 20(2), 345–358. https://doi.org/10.1007/s10796-017-9762-8
Zokir Toshtemirovich Mamadiyarov. 2022. Risk Management in the Remote Provision of Banking Services in the Conditions of Digital Transformation of Banks. In Proceedings of the 5th International Conference on Future Networks and Distributed Systems (ICFNDS '21). Association for Computing Machinery, New York, NY, USA, 311–317. https://doi.org/10.1145/3508072.3508119
Zokir Toshtemirovich Mamadiyarov, Samandarboy Adhambek ugli Sulaymanov, Sarvar Anvar ugli Askarov, and Durdona Bakhtiyor kizi Uktamova. 2022. Impact of Covid-19 Pandemic on Accelerating The Digitization and Transformation of Banks. In Proceedings of the 5th International Conference on Future Networks and Distributed Systems (ICFNDS '21). Association for Computing Machinery, New York, NY, USA, 706–712. https://doi.org/10.1145/3508072.3508211
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 GEJournals

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.