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Hybrid Detection of Intermittent Cyber-Attacks in Networked Power Systems

Author

Listed:
  • Efstathios Kontouras

    (Electrical & Computer Engineering Department, University of Patras, 26500 Rio, Greece)

  • Anthony Tzes

    (Electrical & Computer Engineering Program, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, UAE)

  • Leonidas Dritsas

    (Department of Electrical & Electronic Engineering Educators, School of Pedagogical & Technological Education, ASPETE, 14121 Athens, Greece)

Abstract

This article addresses the concept of a compound attack detection mechanism, that links estimation-based and set-theoretic methods, and is mainly focused on the disclosure of intermittent data corruption cyber-attacks. The detection mechanism is developed as a security enhancing tool for the load-frequency control loop of a networked power system that consists of several interconnected control areas. The dynamics of the power network are derived in observable form in the discrete-time domain, considering that an adversary corrupts the frequency measurements of certain control areas by means of a bias injection cyber-attack. Simulations indicate that an estimation-based detector is unable to discern an intermittent attack, especially when the latter one occurs at the same time as changes in the power load. The detector can be improved by exploiting the safe operation constraints imposed on the state variables of the system. It is shown that the disclosure of intermittent data corruption cyber-attacks in the presence of unknown power load changes is guaranteed only when the estimation-based detector is combined with its set-theoretic counterpart. To this end, a robust invariant set for the networked power system is computed and an alarm is triggered whenever the state vector exits this set. Simulations indicate that the above detectors can operate jointly in terms of a hybrid scheme, which enhances their detection capabilities.

Suggested Citation

  • Efstathios Kontouras & Anthony Tzes & Leonidas Dritsas, 2019. "Hybrid Detection of Intermittent Cyber-Attacks in Networked Power Systems," Energies, MDPI, vol. 12(24), pages 1-29, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4625-:d:294627
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    References listed on IDEAS

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    1. Haiyan Zhang & Minfang Peng & Josep M. Guerrero & Xingle Gao & Yanchen Liu, 2019. "Modelling and Vulnerability Analysis of Cyber-Physical Power Systems Based on Interdependent Networks," Energies, MDPI, vol. 12(18), pages 1-14, September.
    2. Saeed Ahmed & YoungDoo Lee & Seung-Ho Hyun & Insoo Koo, 2019. "Mitigating the Impacts of Covert Cyber Attacks in Smart Grids Via Reconstruction of Measurement Data Utilizing Deep Denoising Autoencoders," Energies, MDPI, vol. 12(16), pages 1-24, August.
    3. Mahmood, Anzar & Javaid, Nadeem & Razzaq, Sohail, 2015. "A review of wireless communications for smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 248-260.
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    Cited by:

    1. Antonio T. Alexandridis, 2020. "Modern Power System Dynamics, Stability and Control," Energies, MDPI, vol. 13(15), pages 1-8, July.

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