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

Ansari, Shuja; Ahmad, Jawad; Aziz Shah, Syed; Kashif Bashir, Ali; Boutaleb, Tuleen; Sinanovic, Sinan

Abstract

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.

• Journal Article Type: Article
• Acceptance Date: Mar 3, 2020
• Online Publication Date: Apr 27, 2020
• Publication Date: May 14, 2020
• Deposit Date: May 15, 2020
• Publicly Available Date: Apr 28, 2021
• Journal: Transactions on Emerging Telecommunications Technologies
• Electronic ISSN: 2161-3915
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 5
• Article Number: e3966
• DOI: https://doi.org/10.1002/ett.3966
• Public URL: http://researchrepository.napier.ac.uk/Output/2663082