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Highly secure authentication and key agreement protocol for the internet of vehicles

Author

Listed:
  • Li Li

    (Shijiazhuang Posts and Telecommunications Technical College)

  • XingJuan Fan

    (Shijiazhuang Posts and Telecommunications Technical College)

  • BoYuan Zhi

    (Nanyang Technological University)

  • ShaoJun Li

    (ShiJiaZhuang Equipment Manufacturing School)

  • Seyyed Amirreza Dabollahi

    (University of Tabriz)

Abstract

In the contemporary era, the Internet of Vehicles (IoV) plays a pivotal role in traffic management, especially in the context of highly scalable and dynamic 5 G networks. Safeguarding these networks presents numerous challenges, particularly in controlling access for unauthenticated users and establishing secure key agreements with fine-grained access control. Balancing these security measures is vital to prevent unauthorized information flow while aligning with the promising goals of future generation technologies. Despite numerous related studies being conducted, existing schemes face risks such as privacy breaches, identity tracing, and substantial computation overheads. Consequently, there is an urgent need to introduce a more secure and efficient scheme to counter various attacks. This paper introduces an authenticated key agreement scheme, tailored for fog-based IoV. The scheme’s security is established under the Random Oracle Model and verified using the ProVerif tool. Additionally, a performance assessment is conducted, demonstrating that the proposed protocol simultaneously meets both security and efficiency requirements when compared to several related schemes.

Suggested Citation

  • Li Li & XingJuan Fan & BoYuan Zhi & ShaoJun Li & Seyyed Amirreza Dabollahi, 2024. "Highly secure authentication and key agreement protocol for the internet of vehicles," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(1), pages 73-88, September.
    • Handle: RePEc:spr:telsys:v:87:y:2024:i:1:d:10.1007_s11235-024-01172-z
    DOI: 10.1007/s11235-024-01172-z
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    References listed on IDEAS

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    1. Yumeng Cao & Ning Xu & Huanqing Wang & Xudong Zhao & Adil M. Ahmad, 2023. "Neural networks-based adaptive tracking control for full-state constrained switched nonlinear systems with periodic disturbances and actuator saturation," International Journal of Systems Science, Taylor & Francis Journals, vol. 54(14), pages 2689-2704, October.
    2. Xiangjun Wu & Shuo Ding & Ning Xu & Ben Niu & Xudong Zhao, 2024. "Periodic event-triggered bipartite containment control for nonlinear multi-agent systems with input delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 55(10), pages 2008-2022, July.
    3. Guo, Shiyu & Zhao, Xudong & Wang, Huanqing & Xu, Ning, 2023. "Distributed consensus of heterogeneous switched nonlinear multiagent systems with input quantization and DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 456(C).
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