Sustainable Development of Smart Regions via Cybersecurity of National Infrastructure: A Fuzzy Risk Assessment Approach
This article proposes a scientifically grounded approach to risk assessment for infrastructural and functional systems that underpin the development of digitally transformed regional territories under conditions of high threat dynamics and sociotechnical instability. The core methodology is based on modeling of multifactorial threats through the application of fuzzy set theory and logic–linguistic analysis, enabling consideration of parameter uncertainty, fragmented expert input, and the lack of a unified risk landscape within complex infrastructure environments. A special emphasis is placed on components of technogenic, informational, and mobile infrastructure that ensure regional viability across planning, response, and recovery phases. The results confirm the relevance of the approach for assessing infrastructure resilience risks in regional spatial–functional systems, which demonstrates the potential integration into sustainable development strategies at the level of regional governance, cross-sectoral planning, and cultural reevaluation of the role of analytics as an ethically grounded practice for cultivating trust, transparency, and professional maturity.
Authors
- Світлана Казмірчук (ORCID: https://orcid.org/0000-0001-6083-251X)
- Олександр Григорович Корченко (ORCID: https://orcid.org/0000-0003-3376-0631)
- Serhii Zybin (ORCID: https://orcid.org/0000-0002-2670-2823)
- Serhii Demediuk
- Volodymyr Shulha (ORCID: https://orcid.org/0000-0003-4356-7288)
Institutions
- University School of Physical Education in Kraków (PL)
- Bukovinian State Medical University (UA)
- State University of Information and Communication Technologies (UA)
- Cracow University of Technology (PL)
- National Police Academy (JP)
- Security Service of Ukraine (UA)
- Police Department (LT)
- National University of Civil Protection of Ukraine (UA)
- V.M. Glushkov Institute of Cybernetics (UA)
Publication Details
- Journal
- Sustainability
- Published
- 2025-09-29
- DOI
- https://doi.org/10.3390/su17198757
- Citations
- 1
- Primary Topic
- Economic and Technological Systems Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.76