Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: a survey

Mahdi Dibaei, Xi Zheng*, Youhua Xia, Xiwei Xu, Alireza Jolfaei, Ali Kashif Bashir, Usman Tariq, Dongjin Yu, Athanasios V. Vasilakos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
JournalIEEE Transactions on Intelligent Transportation Systems
DOIs
Publication statusE-pub ahead of print - 20 Aug 2021

Keywords

  • Blockchain
  • Security
  • Machine Learning
  • Intelligent Transportation Systems
  • AdhocNetworks
  • Cryptography
  • Protocols
  • 5G mobile communication
  • Dedicated short range communication
  • Standards
  • Wireless communication
  • deep learning
  • blockchain
  • machine learning.
  • Vehicular networks
  • Blockchains
  • Computer security

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