IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i2p399-d1033431.html
   My bibliography  Save this article

Lattice-Based Lightweight Quantum Resistant Scheme in 5G-Enabled Vehicular Networks

Author

Listed:
  • Zeyad Ghaleb Al-Mekhlafi

    (College of Computer Science and Engineering, University of Ha’il, Ha’il 81481, Saudi Arabia)

  • Mahmood A. Al-Shareeda

    (National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Selvakumar Manickam

    (National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Badiea Abdulkarem Mohammed

    (College of Computer Science and Engineering, University of Ha’il, Ha’il 81481, Saudi Arabia)

  • Amjad Qtaish

    (College of Computer Science and Engineering, University of Ha’il, Ha’il 81481, Saudi Arabia)

Abstract

Both security and privacy are central issues and need to be properly handled because communications are shared among vehicles in open channel environments of 5G-enabled vehicular networks. Several researchers have proposed authentication schemes to address these issues. Nevertheless, these schemes are not only vulnerable to quantum attacks but also use heavy operations to generate and verify signatures of messages. Additionally, these schemes need an expensive component RoadSide Unit (RSU)-aided scheme during the joining phase. To address these issues, we propose a lightweight quantum-resistant scheme according to the lattice method in 5G-enabled vehicular networks. Our proposal uses matrix multiplication instead of operations-based bilinear pair cryptography or operations-based elliptic curve cryptography to generate and verify signatures of messages shared among vehicles. Our proposal satisfies a significant reduction in performance, which makes it lightweight enough to handle quantum attacks. Our proposal is based on 5G technology without using any RSU-aided scheme. Security analysis showed that our proposal satisfies privacy and security properties as well as resists quantum attacks. Finally, our proposal also shows favorable performance compared to other related work.

Suggested Citation

  • Zeyad Ghaleb Al-Mekhlafi & Mahmood A. Al-Shareeda & Selvakumar Manickam & Badiea Abdulkarem Mohammed & Amjad Qtaish, 2023. "Lattice-Based Lightweight Quantum Resistant Scheme in 5G-Enabled Vehicular Networks," Mathematics, MDPI, vol. 11(2), pages 1-17, January.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:399-:d:1033431
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/2/399/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/2/399/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mahmood A. Al-Shareeda & Selvakumar Manickam, 2022. "COVID-19 Vehicle Based on an Efficient Mutual Authentication Scheme for 5G-Enabled Vehicular Fog Computing," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    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. Phon Sheng Hou & Lokman Mohd Fadzil & Selvakumar Manickam & Mahmood A. Al-Shareeda, 2023. "Vector Autoregression Model-Based Forecasting of Reference Evapotranspiration in Malaysia," Sustainability, MDPI, vol. 15(4), pages 1-18, February.

    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:jmathe:v:11:y:2023:i:2:p:399-:d:1033431. 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.