Network and economic component of financial cybersecurity indices

• Дата: 2025
• Автори: Turchynov, Oleksandr, Khudyntsev, Mykola, Klymenkov, Oleg, Khomenko, Oleksii, Palazhchenko, Igor
• Формат: Стаття
• Мова: Українська
• Опубліковано: Kyiv National University of Construction and Architecture 2025
• Теми: financial (stock) cybersecurity indices; network and economic indicators (indicators); methodology
• Онлайн доступ: https://es-journal.in.ua/article/view/351662
• Назва журналу: Environmental safety and natural resources

The main goal of the study is to develop approaches to using financial (stock exchange) cybersecurity indices to assess cybersecurity and the level of maturity of corporate information assets. The objectives of the study are to analyze existing financial (stock exchange) cybersecurity indices, the methodology for their formation, the application of indices to assess the state of national cybersecurity systems and markets, the development of approaches for modeling the behavior of individual financial cybersecurity indices, and to substantiate their application. The paper examines the methodological foundations of the formation of financial cybersecurity indices depending on network and economic indicators. The methodologies for the formation of existing financial (stock exchange) cybersecurity indices are analyzed, and a model of a generalized financial cybersecurity index is proposed. The application of individual index indicators in the national cybersecurity system is investigated, and their use for collecting and processing cyber statistics data is proposed. The possibility of using game-theoretic resource cooperative models to predict the behavior of individual financial cybersecurity indices is analyzed. To assess cybersecurity and the level of maturity of corporate information assets, an independent use of the cyber insurance index (cyber insurance maturity) is proposed, and the domain structure of the financial cybersecurity indices and the cyber insurance index is compared. The results obtained can be used to assess the state of corporate information resources in order to optimize decision-making.