Research Output

Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks

  There is a high demand for secure and reliable communications for Connected Autonomous Vehicles (CAVs) in the automotive industry. Privacy and security are key issues in CAVs, where network attacks can result in fatal accidents. The computational time, cost, and robustness of encryption algorithms are important factors in low latency 5G‐enabled secure CAV networks. The presented chaotic Tangent‐Delay Ellipse Reflecting Cavity‐Map system and PieceWise Linear Chaotic Map‐based encryption on short messages exchanged in a CAV network provide both robustness and high speed encryption. In this work, we propose a 5G radio network architecture, which leverages multiple radio access technologies and utilizes Cloud Radio Access Network functionalities for privacy preserved and secure CAV networks. The proposed Vehicular Safety Message identifier algorithm meets transmission requirements with a high probability of 85% for low round trip delay of ≤50 milliseconds. The proposed chaos‐based encryption algorithm exhibits faster speeds with a computational time of 2 to 3 milliseconds, showcasing its lightweight properties ideal for time critical applications.

  • Type:

    Article

  • Date:

    27 April 2020

  • Publication Status:

    Published

  • Publisher

    Wiley

  • DOI:

    10.1002/ett.3966

  • Cross Ref:

    10.1002/ett.3966

  • Funders:

    Edinburgh Napier Funded

Citation

Ansari, S., Ahmad, J., Aziz Shah, S., Kashif Bashir, A., Boutaleb, T., & Sinanovic, S. (2020). Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks. Transactions on Emerging Telecommunications Technologies, 31(5), https://doi.org/10.1002/ett.3966

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    "This is the peer reviewed version of the following article: Ansari, S., Ahmad, J., Aziz Shah, S., Kashif Bashir, A., Boutaleb, T., & Sinanovic, S. (2020). Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks. Transactions on Emerging Telecommunications Technologies, 31(5), which has been published in final form at https://doi.org/10.1002/ett.3966,. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions."

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