Attacks and defences on intelligent connected vehicles: a survey

Mahdi Dibaei, Xi Zheng*, Kun Jiang, Robert Abbas, Shigang Liu, Yuexin Zhang, Yang Xiang, Shui Yu

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

44 Citations (Scopus)
101 Downloads (Pure)


Intelligent vehicles are advancing at rapid speed with increasing levels of automation and connectivity, which opens up new possibilities to different cyber attacks including in-vehicle attacks (e.g. hijacking attack) and vehicle-to everything communications attacks (e.g. data theft ). These problems become more severe with the development of 4G LTE and 5G communication technologies. Although a lot of efforts are made to improve the resilience to cyber attacks, there remains many unsolved challenges. This paper first identifies some major security attacks on the intelligent connected vehicles. Then, we investigate and summarize the available defences against these attacks and classify them into four categories such as cryptography, network security, software vulnerability detection, and malware detection. Challenges remaining and future directions for preventing attacks on intelligent vehicle systems have been discussed as well.
Original languageEnglish
Pages (from-to)399-421
Number of pages23
JournalDigital Communications and Networks
Issue number4
Publication statusPublished - Nov 2020

Bibliographical note

Copyright the Publisher 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Intelligent vehicles
  • Vehicular networks
  • Software vulnerabilities
  • Deep learning
  • 3GPP
  • Software defined security


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