4.7 Article

Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2020.3019101

Keywords

Blockchains; 5G mobile communication; Wireless communication; Protocols; Dedicated short range communication; Computer security; Standards; Vehicular networks; blockchain; deep learning; machine learning

Funding

  1. Australian Data61 CRP [c020996]

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This paper discusses the latest communication technologies and applications in vehicular networks, explores the use of machine learning and blockchain in cybersecurity, and provides insights for future research to secure vehicular networks.
With recent developments in communication technologies, vehicular networks have become a reality with various applications. However, the cybersecurity aspect of vehicular networks is still an open issue that needs to be addressed with novel defence mechanisms against attacks. This paper first presents the state-of-the-art communication technologies in vehicular networks (either inter-vehicle networking or in-vehicle networking) along with their applications. Then we explore novel technologies including machine learning and blockchain as cybersecurity defence mechanisms in vehicular networks. Based on the extensive survey, we highlight some insights for future research to secure vehicular networks.

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