IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i15p5458-d873731.html
   My bibliography  Save this article

Cybersecurity in Smart Grids

Author

Listed:
  • Taha Selim Ustun

    (Fukushima Renewable Energy Institute, AIST (FREA), Koriyama 963-0298, Japan)

Abstract

The increasing use of communication in power-system operation and control is a double-edged sword [...]

Suggested Citation

  • Taha Selim Ustun, 2022. "Cybersecurity in Smart Grids," Energies, MDPI, vol. 15(15), pages 1-3, July.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5458-:d:873731
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/15/5458/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/15/5458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Md. Nazmul Hasan & Rafia Nishat Toma & Abdullah-Al Nahid & M M Manjurul Islam & Jong-Myon Kim, 2019. "Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach," Energies, MDPI, vol. 12(17), pages 1-18, August.
    2. Derya Betul Unsal & Taha Selim Ustun & S. M. Suhail Hussain & Ahmet Onen, 2021. "Enhancing Cybersecurity in Smart Grids: False Data Injection and Its Mitigation," Energies, MDPI, vol. 14(9), pages 1-36, May.
    3. Shaohao Xie & Fangguo Zhang & Huizhi Lin & Yangtong Tian, 2019. "A New Secure and Anonymous Metering Scheme for Smart Grid Communications," Energies, MDPI, vol. 12(24), pages 1-16, December.
    4. Ghada Elbez & Hubert B. Keller & Atul Bohara & Klara Nahrstedt & Veit Hagenmeyer, 2020. "Detection of DoS Attacks Using ARFIMA Modeling of GOOSE Communication in IEC 61850 Substations," Energies, MDPI, vol. 13(19), pages 1-27, October.
    5. Igor Kotenko & Igor Saenko & Oleg Lauta & Aleksander Kribel, 2020. "An Approach to Detecting Cyber Attacks against Smart Power Grids Based on the Analysis of Network Traffic Self-Similarity," Energies, MDPI, vol. 13(19), pages 1-24, September.
    6. Shaik Mullapathi Farooq & S.M. Suhail Hussain & Taha Selim Ustun, 2019. "S-GoSV: Framework for Generating Secure IEC 61850 GOOSE and Sample Value Messages," Energies, MDPI, vol. 12(13), pages 1-13, July.
    7. Furquan Nadeem & Mohd Asim Aftab & S.M. Suhail Hussain & Ikbal Ali & Prashant Kumar Tiwari & Arup Kumar Goswami & Taha Selim Ustun, 2019. "Virtual Power Plant Management in Smart Grids with XMPP Based IEC 61850 Communication," Energies, MDPI, vol. 12(12), pages 1-20, June.
    8. Elif Ustundag Soykan & Mustafa Bagriyanik, 2020. "The Effect of SMiShing Attack on Security of Demand Response Programs," Energies, MDPI, vol. 13(17), pages 1-17, September.
    9. Megan Culler & Hannah Burroughs, 2021. "Cybersecurity Considerations for Grid-Connected Batteries with Hardware Demonstrations," Energies, MDPI, vol. 14(11), pages 1-20, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Igor Kotenko & Igor Saenko & Oleg Lauta & Mikhail Karpov, 2021. "Methodology for Management of the Protection System of Smart Power Supply Networks in the Context of Cyberattacks," Energies, MDPI, vol. 14(18), pages 1-39, September.
    2. Lisardo Prieto González & Anna Fensel & Juan Miguel Gómez Berbís & Angela Popa & Antonio de Amescua Seco, 2021. "A Survey on Energy Efficiency in Smart Homes and Smart Grids," Energies, MDPI, vol. 14(21), pages 1-16, November.
    3. Adnan Khattak & Rasool Bukhsh & Sheraz Aslam & Ayman Yafoz & Omar Alghushairy & Raed Alsini, 2022. "A Hybrid Deep Learning-Based Model for Detection of Electricity Losses Using Big Data in Power Systems," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    4. Gao, Bixuan & Kong, Xiangyu & Li, Shangze & Chen, Yi & Zhang, Xiyuan & Liu, Ziyu & Lv, Weijia, 2024. "Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach," Applied Energy, Elsevier, vol. 353(PB).
    5. Jayanta Bhusan Basu & Subhojit Dawn & Pradip Kumar Saha & Mitul Ranjan Chakraborty & Taha Selim Ustun, 2022. "Economic Enhancement of Wind–Thermal–Hydro System Considering Imbalance Cost in Deregulated Power Market," Sustainability, MDPI, vol. 14(23), pages 1-25, November.
    6. Zahoor Ali Khan & Muhammad Adil & Nadeem Javaid & Malik Najmus Saqib & Muhammad Shafiq & Jin-Ghoo Choi, 2020. "Electricity Theft Detection Using Supervised Learning Techniques on Smart Meter Data," Sustainability, MDPI, vol. 12(19), pages 1-25, September.
    7. Akram Qashou & Sufian Yousef & Erika Sanchez-Velazquez, 2022. "Mining sensor data in a smart environment: a study of control algorithms and microgrid testbed for temporal forecasting and patterns of failure," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2371-2390, October.
    8. Theyazn H. H. Aldhyani & Hasan Alkahtani, 2023. "Cyber Security for Detecting Distributed Denial of Service Attacks in Agriculture 4.0: Deep Learning Model," Mathematics, MDPI, vol. 11(1), pages 1-19, January.
    9. Zeeshan Aslam & Nadeem Javaid & Ashfaq Ahmad & Abrar Ahmed & Sardar Muhammad Gulfam, 2020. "A Combined Deep Learning and Ensemble Learning Methodology to Avoid Electricity Theft in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-24, October.
    10. Xuesong Tian & Yuping Zou & Xin Wang & Minglang Tseng & Hua Li & Huijuan Zhang, 2022. "Improving the Efficiency and Sustainability of Intelligent Electricity Inspection: IMFO-ELM Algorithm for Load Forecasting," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    11. Cheong Hee Park & Taegong Kim, 2020. "Energy Theft Detection in Advanced Metering Infrastructure Based on Anomaly Pattern Detection," Energies, MDPI, vol. 13(15), pages 1-10, July.
    12. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Losses: A Panel Data Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 281-286.
    13. Taha Selim Ustun & S. M. Suhail Hussain & Mazheruddin H. Syed & Paulius Dambrauskas, 2021. "IEC-61850-Based Communication for Integrated EV Management in Power Systems with Renewable Penetration," Energies, MDPI, vol. 14(9), pages 1-15, April.
    14. Giuseppe Barone & Giovanni Brusco & Daniele Menniti & Anna Pinnarelli & Gaetano Polizzi & Nicola Sorrentino & Pasquale Vizza & Alessandro Burgio, 2020. "How Smart Metering and Smart Charging may Help a Local Energy Community in Collective Self-Consumption in Presence of Electric Vehicles," Energies, MDPI, vol. 13(16), pages 1-18, August.
    15. Athanasiadis, C.L. & Papadopoulos, T.A. & Kryonidis, G.C. & Doukas, D.I., 2024. "A review of distribution network applications based on smart meter data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    16. Andrey Privalov & Igor Kotenko & Igor Saenko & Natalya Evglevskaya & Daniil Titov, 2021. "Evaluating the Functioning Quality of Data Transmission Networks in the Context of Cyberattacks," Energies, MDPI, vol. 14(16), pages 1-19, August.
    17. Partha Pratim Dey & Dulal Chandra Das & Abdul Latif & S. M. Suhail Hussain & Taha Selim Ustun, 2020. "Active Power Management of Virtual Power Plant under Penetration of Central Receiver Solar Thermal-Wind Using Butterfly Optimization Technique," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    18. Nakkeeran Murugesan & Anantha Narayanan Velu & Bagavathi Sivakumar Palaniappan & Balamurugan Sukumar & Md. Jahangir Hossain, 2024. "Mitigating Missing Rate and Early Cyberattack Discrimination Using Optimal Statistical Approach with Machine Learning Techniques in a Smart Grid," Energies, MDPI, vol. 17(8), pages 1-34, April.
    19. Hany Habbak & Mohamed Mahmoud & Mostafa M. Fouda & Maazen Alsabaan & Ahmed Mattar & Gouda I. Salama & Khaled Metwally, 2023. "Efficient One-Class False Data Detector Based on Deep SVDD for Smart Grids," Energies, MDPI, vol. 16(20), pages 1-28, October.
    20. Konstantinos V. Blazakis & Theodoros N. Kapetanakis & George S. Stavrakakis, 2020. "Effective Electricity Theft Detection in Power Distribution Grids Using an Adaptive Neuro Fuzzy Inference System," Energies, MDPI, vol. 13(12), pages 1-13, June.

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5458-:d:873731. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.