Title: A structured model for identification and classification of critical information infrastructure
Authors: Alaba O. Adejimi; Adesina Simon Sodiya; Olusegun A. Ojesanmi; Olusola J. Adeniran
Addresses: Department of Computer Science, Federal University of Agriculture Abeokuta, Ogun State, Nigeria ' Department of Computer Science, Federal University of Agriculture Abeokuta, Ogun State, Nigeria ' Department of Computer Science, Federal University of Agriculture Abeokuta, Ogun State, Nigeria ' Department of Mathematics, Federal University of Agriculture Abeokuta, Ogun State, Nigeria
Abstract: The growing incidence of attacks on critical information infrastructures has necessitated the development of a model for properly identifying and designating information infrastructure whose destruction or interruption could jeopardise the well-being of a state and ensure its preservation. Some of the previous methodologies and models were prejudiced, lacked scientific support, and the criticality criteria were not categorised to encompass global demands. To universally determine the criticality of information infrastructure, this work proposes a factor impact sensitivity approach (FISA), which identifies, structures, and models relevant state criteria into mathematical concepts. An application was developed to implement the structured mathematical model and designate an infrastructure as 'not critical', 'moderately critical' or 'highly critical' based on the sensitivity result. FISA was found to be 94.76% efficient and 97.62% satisfactory. The developed web application will serve as an assessment guide for the office in charge of the identification of critical national information infrastructure.
Keywords: criticality strength; information infrastructure; categorisation; multi-criteria; impact factor; risk assessment; alternative scope; likelihood; disruption.
DOI: 10.1504/IJCIS.2024.137407
International Journal of Critical Infrastructures, 2024 Vol.20 No.2, pp.139 - 162
Received: 12 Apr 2022
Accepted: 23 Jun 2022
Published online: 18 Mar 2024 *