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Key aspects of automated management of protection of sustainable functioning of critical infra-structure facilities

Year: 2025
Type: article
Abstract: The article is devoted to solving the problem of building automated management protection of critical infrastructure (CI) resilience functioning, which can be carried out in crisis (situation) centers (CSC). The article conducted a study, built a scheme, and defined and considered the main directions of such protection. The types of threats to CI objects (CIO) were determined. CIO were determined as complex interdependent structures, and the main types of interdependencies between them have been analyzed and identified.The Leontiev model for economic interdependence between CIs was presented. The main phases of the risk management process were analyzed. It was proposed to use a three-level situational awareness (SA) model in the CSC together with the use of innovative technologies. Current SA and risk assessment make it possible to create various scenarios of emergency deployment, on the basis of which modeling of protection by resilience functioning of CI is built. Two approaches to creating scenarios were considered — a retrospective approach and an approach based on a chain of likelihood. A step-by-step approach to building a chain of proto-similarity was depicted. Based on the analysis of approaches to modeling, it was determined that each of the approaches is intended for individual types or conditions of CI functioning. Therefore, it is expedient to use a combination of approaches, bottom-up and top-down modeling approaches, as well as a systemic approach. The task was considered and the British concept and general model of crisis management of CI resilience were presented. The role and methodology of four points of view of organizational resilience of CIOs were determined and analyzed. Based on the research results, the main requirements for automated management of the protection of the resilience functioning of the CIO, which can be applied in the CSC, were determined.
Language: English
Open Access status: bronze
OpenAlex ID: W4411418271
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