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

【Author】 Dibaei, Mahdi; Zheng, Xi; Xia, Youhua; Xu, Xiwei; Jolfaei, Alireza; Bashir, Ali Kashif; Tariq, Usman; Yu, Dongjin; Vasilakos, Athanasios V.

【Source】IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

【影响因子】9.551

【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】Blockchains; 5G mobile communication; Wireless communication; Protocols; Dedicated short range communication; Computer security; Standards; Vehicular networks; blockchain; deep learning; machine learning

【发表时间】2021

【收录时间】2022-01-02

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