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Emerging Challenges in Smart Grid Cybersecurity Enhancement: A Review

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  • Fazel Mohammadi

    (Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 1K3, Canada)

Abstract

In this paper, a brief survey of measurable factors affecting the adoption of cybersecurity enhancement methods in the smart grid is provided. From a practical point of view, it is a key point to determine to what degree the cyber resilience of power systems can be improved using cost-effective resilience enhancement methods. Numerous attempts have been made to the vital resilience of the smart grid against cyber-attacks. The recently proposed cybersecurity methods are considered in this paper, and their accuracies, computational time, and robustness against external factors in detecting and identifying False Data Injection (FDI) attacks are evaluated. There is no all-inclusive solution to fit all power systems requirements. Therefore, the recently proposed cyber-attack detection and identification methods are quantitatively compared and discussed.

Suggested Citation

  • Fazel Mohammadi, 2021. "Emerging Challenges in Smart Grid Cybersecurity Enhancement: A Review," Energies, MDPI, vol. 14(5), pages 1-9, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1380-:d:509457
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    References listed on IDEAS

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    1. Fazel Mohammadi & Gholam-Abbas Nazri & Mehrdad Saif, 2019. "A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
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    Cited by:

    1. Ersen Akdeniz & Mustafa Bagriyanik, 2023. "A Preventive Control Approach for Power System Vulnerability Assessment and Predictive Stability Evaluation," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    2. Smitha Joyce Pinto & Pierluigi Siano & Mimmo Parente, 2023. "Review of Cybersecurity Analysis in Smart Distribution Systems and Future Directions for Using Unsupervised Learning Methods for Cyber Detection," Energies, MDPI, vol. 16(4), pages 1-24, February.
    3. Wu, Ying & Wu, Yanpeng & Cimen, Halil & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Towards collective energy Community: Potential roles of microgrid and blockchain to go beyond P2P energy trading," Applied Energy, Elsevier, vol. 314(C).
    4. Muhammad Awais Shahid & Fiaz Ahmad & Fahad R. Albogamy & Ghulam Hafeez & Zahid Ullah, 2022. "Detection and Prevention of False Data Injection Attacks in the Measurement Infrastructure of Smart Grids," Sustainability, MDPI, vol. 14(11), pages 1-25, May.
    5. e Sousa, Álan & Messai, Nadhir & Manamanni, Noureddine, 2022. "Load-altering attack detection on smart grid using functional observers," International Journal of Critical Infrastructure Protection, Elsevier, vol. 37(C).
    6. Muhammad Fakhrul Safitra & Muharman Lubis & Hanif Fakhrurroja, 2023. "Counterattacking Cyber Threats: A Framework for the Future of Cybersecurity," Sustainability, MDPI, vol. 15(18), pages 1-32, September.
    7. Jorge C. Merlino & Mohammed Asiri & Neetesh Saxena, 2022. "DDoS Cyber-Incident Detection in Smart Grids," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    8. Vijayshankar, Sanjana & Chang, Chin-Yao & Utkarsh, Kumar & Wald, Dylan & Ding, Fei & Balamurugan, Sivasathya Pradha & King, Jennifer & Macwan, Richard, 2023. "Assessing the impact of cybersecurity attacks on energy systems," Applied Energy, Elsevier, vol. 345(C).
    9. Omid Sadeghian & Behnam Mohammadi-Ivatloo & Fazel Mohammadi & Zulkurnain Abdul-Malek, 2022. "Protecting Power Transmission Systems against Intelligent Physical Attacks: A Critical Systematic Review," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    10. Nazir, Lubna & Sharifi, Ayyoob, 2024. "An analysis of barriers to the implementation of smart grid technology in Pakistan," Renewable Energy, Elsevier, vol. 220(C).
    11. Mitra, Somalee & Chakraborty, Basab & Mitra, Pabitra, 2024. "Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions," Energy, Elsevier, vol. 289(C).
    12. Wang, Wei & Cova, Gregorio & Zio, Enrico, 2022. "A clustering-based framework for searching vulnerabilities in the operation dynamics of Cyber-Physical Energy Systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    13. Rikin Tailor & Zsolt Čonka & Michal Kolcun & Ľubomír Beňa, 2021. "Electrical Energy Flow Algorithm for Household, Street and Battery Charging in Smart Street Development," Energies, MDPI, vol. 14(13), pages 1-34, June.

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