METHOD FOR ASSESSING THE RESILIENCE OF CRITICAL INFORMATION INFRASTRUCTURE OBJECTS OF THE STATE
In the modern context of increasing number and complexity of threats, the issue of assessing the resilience of critical information infrastructure (CII) objects becomes of paramount importance for the national security of the state. The vulnerability of infrastructural systems, combined with intersectoral dependencies, necessitates the application of integrated and scientifically grounded approaches to the assessment of CII and the enhancement of their resilience. The article presents an integrated method for assessing the resilience of CII, which combines a multidimensional system of indicators, fuzzy analysis methods, unified variable normalization, and categorization of objects in accordance with current regulatory documents. For the first time, the resilience life cycle model (P–A–A–R) has been integrated into the assessment process, enabling a dual calculation of the criticality category: the primary one – based on the integral indicator PKOKI, and the secondary one – taking into account the system’s ability to predict, absorb impacts, adapt, and recover. An experimental study conducted on the example of three resilience dimensions (economic, social, and security) confirmed the priority of the security aspect while simultaneously demonstrating the significance of economic and social factors in shaping a balanced system. The results of the study have practical value for state and private entities responsible for protecting critical infrastructure, as they provide a foundation for strategic risk management and the development of adaptive policies. Further research will be aimed at verifying the method across all dimensions of resilience for different cities of the state in order to confirm its universality and scalability.
Authors
- Viktoriia Sydorenko (ORCID: https://orcid.org/0000-0002-5910-0837)
Institutions
- National University "Kyiv Aviation Institute" (UA)
Publication Details
- Journal
- Cybersecurity Education Science Technique
- Published
- 2025-01-01
- DOI
- https://doi.org/10.28925/2663-4023.2025.29.944
- Citations
- 1
- Primary Topic
- Infrastructure Resilience and Vulnerability Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.95