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A structured model for identification and classification of critical information infrastructure

Author

Listed:
  • Alaba O. Adejimi
  • Adesina Simon Sodiya
  • Olusegun A. Ojesanmi
  • Olusola J. Adeniran

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.

Suggested Citation

  • Alaba O. Adejimi & Adesina Simon Sodiya & Olusegun A. Ojesanmi & Olusola J. Adeniran, 2024. "A structured model for identification and classification of critical information infrastructure," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 20(2), pages 139-162.
    • Handle: RePEc:ids:ijcist:v:20:y:2024:i:2:p:139-162
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