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Effects of intentional threats to power substation control systems

Author

Listed:
  • Giovanna Dondossola
  • Judit Szanto
  • Marcelo Masera
  • Igor Nai Fovino

Abstract

Power station control and management systems represent key elements for guaranteeing the security of the power grid infrastructure. Intrinsically conceived to support the continuous provision of power in secure conditions, those systems today make intensive use of information and communication systems and are therefore exposed to related accidental and intentional cyber threats. This paper describes a simulation of cyber attacks conducted in the CESI RICERCA laboratory testbed on a prototypical substation control infrastructure with the purpose of testing their feasibility and illustrating their impact on the control system services. A set of attack scenarios targeting several subsystems has been experimented, with different simulated threat motivations and different degrees of impact on the global substation service. The paper reports some considerations about the consequences of the implemented attacks, focusing on different facets of the problem, in an effort to elucidate the full significance of the potential cyber threats.

Suggested Citation

  • Giovanna Dondossola & Judit Szanto & Marcelo Masera & Igor Nai Fovino, 2008. "Effects of intentional threats to power substation control systems," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(1/2), pages 129-143.
    • Handle: RePEc:ids:ijcist:v:4:y:2008:i:1/2:p:129-143
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    Citations

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    Cited by:

    1. Nai Fovino, Igor & Carcano, Andrea & Masera, Marcelo & Trombetta, Alberto, 2009. "An experimental investigation of malware attacks on SCADA systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(4), pages 139-145.
    2. Rencelj Ling, Engla & Ekstedt, Mathias, 2023. "A threat modeling language for generating attack graphs of substation automation systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 41(C).
    3. Abrar Mahi-al-rashid & Fahmid Hossain & Adnan Anwar & Sami Azam, 2022. "False Data Injection Attack Detection in Smart Grid Using Energy Consumption Forecasting," Energies, MDPI, vol. 15(13), pages 1-17, July.

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