Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey

Dibaei Asl M, Zheng X, Xu X, Xia Y, Jolfaei A, Kashif Bashir A, Tariq U, Yu D, Vasilakos AV (2021)

Publication Type: Journal article

Publication year: 2021

Journal

IEEE Transactions on Intelligent Transportation Systems Institute of Electrical and Electronics Engineers (IEEE)

Publisher: IEEE

Book Volume: 23

Pages Range: 683--700

Journal Issue: 2

URI: https://ieeexplore.ieee.org/document/9519843

Authors with CRIS profile

Mahdi Dibaei Asl Computer Science 7 (Computer Networks and Communication Systems)

Involved external institutions

Macquarie University

Australia (AU) Wuhan University

China (CN) Information and Communication Technologies Centre (CSIRO)

Australia (AU) Hangzhou Dianzi University

China (CN) Manchester Metropolitan University (MMU)

United Kingdom (GB) Prince Sattam Bin Abdulaziz University (PSAU) / جامعة سطام بن عبدالعزيز

Saudi Arabia (SA) University of Agder / Universitetet i Agder / Agderin yliopisto

Norway (NO)

How to cite

APA:

Dibaei Asl, M., Zheng, X., Xu, X., Xia, Y., Jolfaei, A., Kashif Bashir, A.,... Vasilakos, A.V. (2021). Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey. IEEE Transactions on Intelligent Transportation Systems, 23(2), 683--700.

MLA:

Dibaei Asl, Mahdi, et al. "Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey." IEEE Transactions on Intelligent Transportation Systems 23.2 (2021): 683--700.

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