Quantitative assessment of critical infrastructures degree of dependency on information and communications technology

dc.contributor.authorMbanaso, Uche M.
dc.contributor.authorKulugh, Victor Emmanuel
dc.contributor.authorAimufua, Gilbert Imuetinyan Osaze
dc.contributor.authorDandaura, Emmanuel S.
dc.date.accessioned2023-12-14T07:04:53Z
dc.date.available2023-12-14T07:04:53Z
dc.date.issued2022-04-04
dc.description.abstractThis paper presents a computational model for the quantification of critical infrastructure (CI) degree of dependency on ICT. Traditional CIs that support modern society in providing uninterruptable vital services are increasingly ICT dependent. To build the needed bulwark against cyber threats, there is the need to assess their dependency on ICT since ICT infrastructure comes with vulnerabilities that amplify cyber risk. Consequently, the proposed computational model for the quantification of CI degree of dependency on ICT is a function of ICT metrics and indicators based on mathematical constructs. The outcome is ICT dependency index (IDI), and ICT dependency quadrant (IDQ), which compare, rank, and visualise the IDI of sectors and organisations. The findings show that no one sector can be chosen arbitrarily as the most critical ICT dependent. The model is particularly useful for developing countries to uniformly assess CI’s degree of dependency on ICT as opposed to uninformed valuation.en_US
dc.identifier.citationAimufua, G.I.O. & et al. (2022) Quantitative assessment of critical infrastructures degree of dependency on information and communications technologyen_US
dc.identifier.urihttps://keffi.nsuk.edu.ng/handle/20.500.14448/5572
dc.language.isoenen_US
dc.publisherDepartment of Computer Science, Nasarawa State University Keffien_US
dc.subjectcritical infrastructure; critical systems; critical national information infrastructure; ICT dependency.en_US
dc.titleQuantitative assessment of critical infrastructures degree of dependency on information and communications technologyen_US
dc.typeArticleen_US

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