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Survey of Cybersecurity Governance, Threats, and Countermeasures for the Power Grid

Author

Listed:
  • Matthew Boeding

    (Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

  • Kelly Boswell

    (Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

  • Michael Hempel

    (Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

  • Hamid Sharif

    (Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

  • Juan Lopez

    (Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA)

  • Kalyan Perumalla

    (Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA)

Abstract

The convergence of Information Technologies and Operational Technology systems in industrial networks presents many challenges related to availability, integrity, and confidentiality. In this paper, we evaluate the various cybersecurity risks in industrial control systems and how they may affect these areas of concern, with a particular focus on energy-sector Operational Technology systems. There are multiple threats and countermeasures that Operational Technology and Information Technology systems share. Since Information Technology cybersecurity is a relatively mature field, this paper emphasizes on threats with particular applicability to Operational Technology and their respective countermeasures. We identify regulations, standards, frameworks and typical system architectures associated with this domain. We review relevant challenges, threats, and countermeasures, as well as critical differences in priorities between Information and Operational Technology cybersecurity efforts and implications. These results are then examined against the recommended National Institute of Standards and Technology framework for gap analysis to provide a complete approach to energy sector cybersecurity. We provide analysis of countermeasure implementation to align with the continuous functions recommended for a sound cybersecurity framework.

Suggested Citation

  • Matthew Boeding & Kelly Boswell & Michael Hempel & Hamid Sharif & Juan Lopez & Kalyan Perumalla, 2022. "Survey of Cybersecurity Governance, Threats, and Countermeasures for the Power Grid," Energies, MDPI, vol. 15(22), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8692-:d:977686
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    References listed on IDEAS

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    Cited by:

    1. Wadim Strielkowski & Andrey Vlasov & Kirill Selivanov & Konstantin Muraviev & Vadim Shakhnov, 2023. "Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review," Energies, MDPI, vol. 16(10), pages 1-31, May.
    2. Boeding, Matthew & Hempel, Michael & Sharif, Hamid & Lopez, Juan & Perumalla, Kalyan, 2023. "A flexible OT testbed for evaluating on-device implementations of IEC-61850 GOOSE," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).

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