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.
|Number of pages||18|
|Journal||IEEE Transactions on Intelligent Transportation Systems|
|Early online date||20 Aug 2021|
|Publication status||Published - Feb 2022|
- Vehicular networks
- deep learning
- machine learning