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A survey of optimization models and methods for cyberinfrastructure security

Author

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  • Forough Enayaty-Ahangar
  • Laura A. Albert
  • Eric DuBois

Abstract

Critical infrastructure from a cross-section of sectors has become increasingly reliant on cyber systems and cyberinfrastructure. Increasing risks to these cyber components, including cyber-physical systems, have highlighted the importance of cybersecurity in protecting critical infrastructure. The need to cost-effectively improve cyberinfrastructure security has made this topic suitable for optimization research. In this survey, we review studies in the literature that apply optimization to enhance or improve cyberinfrastructure security and were published or accepted before the end of the year 2019. We select 68 relevant peer-reviewed scholarly works among 297 studies found on Scopus and provide an overview of their application areas, mission areas, and optimization models and methods. Finally, we consider gaps in the literature and possible directions for future research.

Suggested Citation

  • Forough Enayaty-Ahangar & Laura A. Albert & Eric DuBois, 2020. "A survey of optimization models and methods for cyberinfrastructure security," IISE Transactions, Taylor & Francis Journals, vol. 53(2), pages 182-198, July.
    • Handle: RePEc:taf:uiiexx:v:53:y:2020:i:2:p:182-198
    DOI: 10.1080/24725854.2020.1781306
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    Cited by:

    1. Cheung, Kam-Fung & Bell, Michael G.H., 2021. "Improving connectivity of compromised digital networks via algebraic connectivity maximisation," European Journal of Operational Research, Elsevier, vol. 294(1), pages 353-364.
    2. Cheung, Kam-Fung & Bell, Michael G.H. & Bhattacharjya, Jyotirmoyee, 2021. "Cybersecurity in logistics and supply chain management: An overview and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).

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