A group authentication and privacy-preserving level for vehicular networks based on fuzzy system

2020 ◽  
pp. 1-16
Author(s):  
Cheng Xu ◽  
Hongzhe Liu ◽  
Zhenhua Pan ◽  
Wenfa Li ◽  
Zhao Ye
Author(s):  
Meng Li ◽  
Yifei Chen ◽  
Shuli Zheng ◽  
Donghui Hu ◽  
Chhagan Lal ◽  
...  

2008 ◽  
Vol 1 (3) ◽  
pp. 195-204 ◽  
Author(s):  
Lei Tang ◽  
Xiaoyan Hong ◽  
Phillip G. Bradford

2021 ◽  
Vol 11 (21) ◽  
pp. 9792
Author(s):  
Konstantinos Kaltakis ◽  
Panagiota Polyzi ◽  
George Drosatos ◽  
Konstantinos Rantos

Blockchain, a promising technology that has matured and nowadays is widely used in many fields, such as supply chain management, smart grids, agriculture and logistics, has also been proposed for the Internet of Vehicles (IoV) ecosystem to enhance the protection of the data that roadside units and vehicles exchange. Blockchain technology can inherently guarantee the availability, integrity and immutability of data stored in IoV, yet it cannot protect privacy and data confidentiality on its own. As such, solutions that utilise this technology have to consider the adoption of privacy-preserving schemes to address users’ privacy concerns. This paper provides a literature review of proposed solutions that provide different vehicular services using blockchain technology while preserving privacy. In this context, it analyses existing solutions’ main characteristics and properties to provide a comprehensive and critical overview and identifies their contribution in the field. Moreover, it provides suggestions to researchers for future work in the field of privacy-preserving blockchain-enabled solutions for vehicular networks.


Author(s):  
Anjia Yang ◽  
Dutliff Boshoff ◽  
Qiao Hu ◽  
Gerhard Hancke ◽  
Xizhao Luo ◽  
...  

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