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.
|Journal||IEEE Transactions on Intelligent Transportation Systems|
|Publication status||E-pub ahead of print - 20 Aug 2021|
- Machine Learning
- Intelligent Transportation Systems
- 5G mobile communication
- Dedicated short range communication
- Wireless communication
- deep learning
- machine learning.
- Vehicular networks
- Computer security