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A new safety and security risk analysis framework for industrial control systems

Author

Listed:
  • Siwar Kriaa
  • Marc Bouissou
  • Youssef Laarouchi

Abstract

The migration of modern industrial control systems toward information and communication technologies exposes them to cyber-attacks that can alter the way they function, thereby causing adverse consequences on the system and its environment. It has consequently become crucial to consider security risks in traditional safety risk analyses for industrial systems controlled by modern industrial control system. We propose in this article a new framework for safety and security joint risk analysis for industrial control systems. S-cube (for supervisory control and data acquisition safety and security joint modeling) is a new model-based approach that enables, thanks to a knowledge base, formal modeling of the physical and functional architecture of cyber-physical systems and automatic generation of a qualitative and quantitative analysis encompassing safety risks (accidental) and security risks (malicious). We first give the principle and rationale of S-cube and then we illustrate its inputs and outputs on a case study.

Suggested Citation

  • Siwar Kriaa & Marc Bouissou & Youssef Laarouchi, 2019. "A new safety and security risk analysis framework for industrial control systems," Journal of Risk and Reliability, , vol. 233(2), pages 151-174, April.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:2:p:151-174
    DOI: 10.1177/1748006X18765885
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    References listed on IDEAS

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    1. Genge, Béla & Kiss, István & Haller, Piroska, 2015. "A system dynamics approach for assessing the impact of cyber attacks on critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 10(C), pages 3-17.
    2. Kriaa, Siwar & Pietre-Cambacedes, Ludovic & Bouissou, Marc & Halgand, Yoran, 2015. "A survey of approaches combining safety and security for industrial control systems," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 156-178.
    3. Hauge, S. & Hokstad, P. & HÃ¥brekke, S. & Lundteigen, M.A., 2016. "Common cause failures in safety-instrumented systems: Using field experience from the petroleum industry," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 34-45.
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