Simplifying Cyber Security Maturity Models through National Culture: A Fuzzy Logic Approach
Files
Date
2022-01-04
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
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.
Description
Keywords
International Perspectives for Cybersecurity, cybersecurity maturity models, national culture, passwords, fuzzy logic
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 55th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.