Fuzzy logic in risk assessment of multi-stage cyber attacks on critical infrastructure networks

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dc.contributor.authorNakonechna, Yuliia
dc.contributor.authorSavchuk, Bohdan
dc.contributor.authorKovalova, Anna
dc.date.accessioned2025-04-10T08:32:23Z
dc.date.available2025-04-10T08:32:23Z
dc.date.issued2024
dc.description.abstractIn the current environment, critical infrastructure has become the target of increasingly complex multi-stage cyber attacks characterized by sequential phases of infiltration, privilege escalation, and lateral movement within the target network. Traditional risk assessment methods often rely on assumptions of precise data availability and well-defined probabilities, which limit their applicability in real-world scenarios marked by uncertainty and imprecise information. This paper proposes an approach based on the use of fuzzy logic systems to assess the risks of multi-stage cyber attacks against networked critical infrastructure services. The proposed methodology takes into account the ambiguity and fuzziness of input data, expert judgments, and the dynamic progression of attacks. The result is a more flexible and adaptive risk assessment model that supports informed decision-making to enhance cybersecurity, prioritize countermeasures, and optimize the allocation of defensive resources.
dc.format.pagerangeP. 52-65
dc.identifier.citationNakonechna, Y. Fuzzy logic in risk assessment of multi-stage cyber attacks on critical infrastructure networks / Yuliia Nakonechna, Bohdan Savchuk, Anna Kovalova // Theoretical and Applied Cybersecurity: scientific journal. – 2024. – Vol. 6, No. 2. – P. 52-65. – Bibliogr.: 15 ref.
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132024.2.318023
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/73321
dc.language.isoen
dc.publisherIgor Sikorsky Kyiv Polytechnic Institute
dc.publisher.placeKyiv
dc.relation.ispartofTheoretical and Applied Cybersecurity: scientific journal, Vol. 6, No. 2
dc.subjectCybersecurity
dc.subjectrisk assessment
dc.subjectattack
dc.subjectfuzzy logic
dc.subjectinfrastructure
dc.subjectnetwork
dc.subject.udc004.942, 519.876.5
dc.titleFuzzy logic in risk assessment of multi-stage cyber attacks on critical infrastructure networks
dc.typeArticle

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Theoretical and Applied Cybersecurity: scientific journal, Vol. 6, No. 2