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Improving the cyber resilience of industrial control systems

Author

Listed:
  • Chaves, Andrew
  • Rice, Mason
  • Dunlap, Stephen
  • Pecarina, John

Abstract

Industrial control systems are designed to be resilient, capable of recovering from process faults and failures with limited impact on operations. Current industrial control system resilience strategies use redundant programmable logic controllers. However, these redundant programmable logic controllers, which typically are the same or similar makes and models as the primary controllers, can be exploited by the same cyber attacks that target the primary controllers.

Suggested Citation

  • Chaves, Andrew & Rice, Mason & Dunlap, Stephen & Pecarina, John, 2017. "Improving the cyber resilience of industrial control systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 17(C), pages 30-48.
    • Handle: RePEc:eee:ijocip:v:17:y:2017:i:c:p:30-48
    DOI: 10.1016/j.ijcip.2017.03.005
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    References listed on IDEAS

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    1. Yoon, Jungsang & Dunlap, Stephen & Butts, Jonathan & Rice, Mason & Ramsey, Benjamin, 2016. "Evaluating the readiness of cyber first responders responsible for critical infrastructure protection," International Journal of Critical Infrastructure Protection, Elsevier, vol. 13(C), pages 19-27.
    2. Downer, John, 2009. "When failure is an option: redundancy, reliability and regulation in complex technical systems," LSE Research Online Documents on Economics 36537, London School of Economics and Political Science, LSE Library.
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    Cited by:

    1. González, Santiago G. & Dormido Canto, S. & Sánchez Moreno, José, 2020. "Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells," International Journal of Critical Infrastructure Protection, Elsevier, vol. 29(C).
    2. Saraeian, Shideh & Shirazi, Babak & Motameni, Homayun, 2019. "Adaptive control of criticality infrastructure in automatic closed-loop supply chain considering uncertainty," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 102-124.
    3. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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