IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v18y2022i4p15501329221092940.html
   My bibliography  Save this article

Lattice-based provable data possession in the standard model for cloud-based smart grid data management systems

Author

Listed:
  • Caixue Zhou
  • Lihua Wang
  • Lingmin Wang

Abstract

The smart grid is considered to be the next-generation electric power network. In a smart grid, there are massive data to be processed, so cloud computing is introduced into it to form a cloud-based smart grid data management system. However, with data no longer being stored locally, how to ensure the integrity of data stored in the cloud in the smart grid has become an urgent problem awaiting solution. Provable data possession has been proposed to solve this problem. With the development of quantum computer technology, quantum attacks-resistant cryptographic schemes are gradually entering people’s horizons. Lattice cryptography can resist quantum attacks. In this article, a lattice-based provable data possession scheme is proposed for cloud-based smart grid data management systems. The scheme is proved unforgeable under the small integer solution hard assumption in the standard model. Compared with other two efficient lattice-based provable data possession schemes in the standard model, our scheme also shows efficiency.

Suggested Citation

  • Caixue Zhou & Lihua Wang & Lingmin Wang, 2022. "Lattice-based provable data possession in the standard model for cloud-based smart grid data management systems," International Journal of Distributed Sensor Networks, , vol. 18(4), pages 15501329221, April.
  • Handle: RePEc:sae:intdis:v:18:y:2022:i:4:p:15501329221092940
    DOI: 10.1177/15501329221092940
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/15501329221092940
    Download Restriction: no

    File URL: https://libkey.io/10.1177/15501329221092940?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Syed Imran Jami & Siraj Munir, 2021. "Current Trends in Cloud Computing for Data Science Experiments," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 11(4), pages 80-99, October.
    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.

      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:sae:intdis:v:18:y:2022:i:4:p:15501329221092940. 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: SAGE Publications (email available below). General contact details of provider: .

      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.