A methodology and architecture of the platform for modeling interdependencies in critical infrastructures when cascading effects occur

• Дата: 2025
• Автори: Сенченко, В. Р., Бойченко, А. В., Коваль, О. В., Хоменко, О. М.
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: Інститут проблем реєстрації інформації НАН України 2025
• Теми: critical infrastructure; cascading effect; tools; modeling; simulation; software; platform
• Онлайн доступ: http://drsp.ipri.kiev.ua/article/view/335624
• Назва журналу: Data Recording, Storage & Processing

It is proposed a methodology and architecture for modeling and assessing consequences of cascade effects in critical infrastructure networks, what is based on M&S (Modeling and Simulation) paradigm. The methodology allows represent critical infrastructure in different operating states depending on the research scope and objectives. Based on the results of the analysis Cascade Effects in Interconnected Critical Infrastructures Modeling and Simulating Platform was proposed.  The platform integrates frameworks for in-depth analysis of underlying mechanisms, revealing hidden connections and potential vulnerabilities. A web portal provides centralized access to data sources, while ontologies offer structured frameworks to model complex relationships, ensuring semantic clarity. Knowledge bases store expert insights and historical data, enabling systematic analysis. Simulations allow dynamic testing of scenarios, revealing how changes in one component affect the whole system. Visualization tools transform abstract data into intuitive graphs, maps, or dashboards, making patterns and anomalies easier to identify. The proposed architecture is distributed and is based on using data compatibility standards to interact with open-source tools and frameworks for modeling and simulating of various scenarios of cascading effects. As part of the platform, existing high-level languages and software tools for modeling and simulating cascade effects in interconnected critical infrastructures, including graph representation of models as well as determining their functional advantages for different subject domains have been reviewed. That allows researchers construct complex models of critical infrastructures, explore as standalone nodes as their interdependencies, simulate Interacting spreading processes then anticipate the effects impact and consequences. The work is being carried out as a part of SACE-24 project and the results will allow visualize, model, and plan resilience measures in areas such as power grids, transportation, water supply, and communication systems. Fig.: 2. Refs: 37 titles.