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Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks:A Survey - 2021

Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks:A Survey

Research Area:  Vehicular Ad Hoc Networks

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.

Keywords:  

Author(s) Name:  Mahdi Dibaei; Xi Zheng; Youhua Xia; Xiwei Xu; Alireza Jolfaei; Ali Kashif Bashir; Usman Tariq; Dongjin Yu; Athanasios V. Vasilakos

Journal name:  IEEE Transactions on Intelligent Transportation Systems

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/TITS.2020.3019101

Volume Information:  Volume: 23, Issue: 2, Feb. 2022, Page(s): 683 - 700