Simplifying Cyber Security Maturity Models through National Culture: A Fuzzy Logic Approach Jeong, Jongkil Grobler, Marthie M.A.P., Chamikara 2021-12-24T18:09:09Z 2021-12-24T18:09:09Z 2022-01-04
dc.description.abstract Different assessment models exist to measure a country's cyber security maturity levels. These levels serve as a benchmark for indicating how well prepared a nation is against a cyber security attack and how resilient it would be in recovering from such an attack. However, results from these maturity assessments are either too general, overly complex, or resource intensive to apply and guide important national cyber security strategies and frameworks. To address this we propose a model to link national culture with a country's cyber security maturity through fuzzy logic mapping to ensure that a more uniform reflection of the cyber security maturity level within a country can be measured. In this paper, we present additional research towards optimising our model. The extended model incorporates input from two cyber security assessment models, and validates the refined output models on 11 countries to compare the maturity levels from the traditional assessment model with our optimised fuzzy model. Our results show that it is viable to reduce the resources required to conduct a national cyber security maturity assessment.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.662
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject International Perspectives for Cybersecurity
dc.subject cybersecurity maturity models
dc.subject national culture
dc.subject passwords
dc.subject fuzzy logic
dc.title Simplifying Cyber Security Maturity Models through National Culture: A Fuzzy Logic Approach
dc.type.dcmi text
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