Topological Approach to the Assessment of Digital Resilience of a Critical Information Infrastructure Facility

The concept of cyberspace of a critical information infrastructure object is described using mathematical topology. A method for categorising the risk of an external links by the impact to the integrity, confidentiality and availability of information exchanged via this link is proposed. An external links in a cyberspace represent a typical supply chain in terms of cybersecurity risk management. The method considers the link as a topological element of a critical information infrastructure facility cyberspace. Decomposition of the supply chain reveals its structure, and further factorization reveals certain technics to assess the resilience of which affects the resilience of the entire facility.

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Published
2024-10-11
DOI
https://doi.org/10.1109/dessert65323.2024.11122199
Primary Topic
Advanced Data Processing Techniques
Type
article
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article

Topological Approach to the Assessment of Digital Resilience of a Critical Information Infrastructure Facility

Віталій Зубок, G. Dubynskyi
Advanced Data Processing Techniques
article

Topological Approach to the Assessment of Digital Resilience of a Critical Information Infrastructure Facility

Віталій Зубок, G. Dubynskyi
article en

Abstract

The concept of cyberspace of a critical information infrastructure object is described using mathematical topology. A method for categorising the risk of an external links by the impact to the integrity, confidentiality and availability of information exchanged via this link is proposed. An external links in a cyberspace represent a typical supply chain in terms of cybersecurity risk management. The method considers the link as a topological element of a critical information infrastructure facility cyberspace. Decomposition of the supply chain reveals its structure, and further factorization reveals certain technics to assess the resilience of which affects the resilience of the entire facility.

Pukhov Institute for Modelling in Energy Engineering (UA)
Industry, innovation and infrastructure
Openalex Percentile: Top 61%
Advanced Data Processing Techniques
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