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A watchdog model for physics-based anomaly detection in digital substations

Author

Listed:
  • Tarazi, Hussam
  • Sutton, Sara
  • Olinjyk, John
  • Bond, Benjamin
  • Rrushi, Julian

Abstract

The security of cyber–physical systems (CPS) presents new challenges stemming from computations that work primarily with live physics data. Although there is a body of previous research on detection of malware on CPS, more effective designs are needed to address limitations such mimicry attacks and other forms of evasive techniques. Relay algorithms in particular, such as differential and harmonic protection algorithms, are essential to protecting physical equipment such as power transformers from faults. Relay algorithms, though, are often disabled, altered, or otherwise suppressed by malware.

Suggested Citation

  • Tarazi, Hussam & Sutton, Sara & Olinjyk, John & Bond, Benjamin & Rrushi, Julian, 2024. "A watchdog model for physics-based anomaly detection in digital substations," International Journal of Critical Infrastructure Protection, Elsevier, vol. 44(C).
    • Handle: RePEc:eee:ijocip:v:44:y:2024:i:c:s1874548224000015
    DOI: 10.1016/j.ijcip.2024.100660
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    References listed on IDEAS

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    1. Mohamad El Hariri & Eric Harmon & Tarek Youssef & Mahmoud Saleh & Hany Habib & Osama Mohammed, 2019. "The IEC 61850 Sampled Measured Values Protocol: Analysis, Threat Identification, and Feasibility of Using NN Forecasters to Detect Spoofed Packets," Energies, MDPI, vol. 12(19), pages 1-24, September.
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