IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i24p9350-d999176.html
   My bibliography  Save this article

Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends

Author

Listed:
  • Hayat Mohammad Khan

    (Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan)

  • Abid Khan

    (College of Science and Engineering, University of Derby, Derby DE22 1GB, UK)

  • Basheir Khan

    (Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan)

  • Gwanggil Jeon

    (Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Republic of Korea
    Energy Excellence & Smart City Lab., Incheon National University, Incheon 22012, Republic of Korea)

Abstract

Secure data aggregation is an important process that enables a smart meter to perform efficiently and accurately. However, the fault tolerance and privacy of the user data are the most serious concerns in this process. While the security issues of Smart Grids are extensively studied, these two issues have been ignored so far. Therefore, in this paper, we present a comprehensive survey of fault-tolerant and differential privacy schemes for the Smart Gird. We selected papers from 2010 to 2021 and studied the schemes that are specifically related to fault tolerance and differential privacy. We divided all existing schemes based on the security properties, performance evaluation, and security attacks. We provide a comparative analysis for each scheme based on the cryptographic approach used. One of the drawbacks of existing surveys on the Smart Grid is that they have not discussed fault tolerance and differential privacy as a major area and consider them only as a part of privacy preservation schemes. On the basis of our work, we identified further research areas that can be explored.

Suggested Citation

  • Hayat Mohammad Khan & Abid Khan & Basheir Khan & Gwanggil Jeon, 2022. "Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends," Energies, MDPI, vol. 15(24), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9350-:d:999176
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/24/9350/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/24/9350/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Neetesh Saxena & Bong Jun Choi, 2015. "State of the Art Authentication, Access Control, and Secure Integration in Smart Grid," Energies, MDPI, vol. 8(10), pages 1-33, October.
    2. Aijing Sun & Axin Wu & Xiaokun Zheng & Fangyuan Ren, 2019. "Efficient and privacy-preserving certificateless data aggregation in Internet of things–enabled smart grid," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    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. Mihai Sanduleac & Gianluca Lipari & Antonello Monti & Artemis Voulkidis & Gianluca Zanetto & Antonello Corsi & Lucian Toma & Giampaolo Fiorentino & Dumitru Federenciuc, 2017. "Next Generation Real-Time Smart Meters for ICT Based Assessment of Grid Data Inconsistencies," Energies, MDPI, vol. 10(7), pages 1-16, June.
    2. Emmanuel Ogbodo & David Dorrell & Adnan Abu-Mahfouz, 2021. "Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid," International Journal of Distributed Sensor Networks, , vol. 17(7), pages 15501477211, July.
    3. Mohamed S. Abdalzaher & Mostafa M. Fouda & Mohamed I. Ibrahem, 2022. "Data Privacy Preservation and Security in Smart Metering Systems," Energies, MDPI, vol. 15(19), pages 1-19, October.

    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:24:p:9350-:d:999176. 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.