Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey
- Publisher:
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Publication Type:
- Journal Article
- Citation:
- IEEE Transactions on Intelligent Transportation Systems, 2022, 23, (2), pp. 683-700
- Issue Date:
- 2022-02-01
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks A Survey.pdf | Published version | 2.2 MB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
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.
Please use this identifier to cite or link to this item: