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Edge Computing-based Privacy Preserving Authentication Framework and Protocol for 5G-enabled Vehicular Networks

journal contribution
posted on 2020-05-27, 13:43 authored by Jing Zhang, Hong Zhong, Jie Cui, Miaomiao Tian, Yan Xu, Lu Liu

Based on the functional characteristics of inter-vehicle communication networks under the current framework, a privacy-preserving authentication framework that combines fifth-generation communication technology (5G) and edge computing technology is proposed. The proposed framework is different from that used in the previous 802.11p-based inter-vehicle communication network architecture, and we use device-to-device technology to achieve communication between vehicles. One difference between a 5G-enabled model and a traditional model for vehicle ad hoc networks is that secure communication between vehicles in a 5G-enabled model is challenging. The authentication protocol proposed in this study can be divided into two parts. The first part involves authenticating and selecting an edge computing vehicle, wherein a fuzzy logic mathematical method is used in the selection process. The second part is the mutual authentication between edge computing and ordinary vehicles. In this process, the exchange of security information between vehicles in a group is possible. Simultaneously, the identity privacy and traceability of the vehicle are ensured. Moreover, the proposed signature scheme is proved to be secure under a random oracle model. Performance evaluation results demonstrate that our proposed scheme has relatively lower computational and communication overhead than existing schemes.

Funding

The work was supported by the National Natural Science Foundation of China (No. 61872001, No. 6191101332, No.61702005, No. U1936220), the Open Fund of Key Laboratory of Embedded System and Service Computing (Tongji University), M Ministry of Education (No. ESSCKF2018-03)), the Open Fund for Discipline Construction, Institute of Physical Science and Information Technology, Anhui University and the Excellent Talent Project of Anhui University.

History

Citation

IEEE Transactions on Vehicular Technology (2020) In Press

Version

  • AM (Accepted Manuscript)

Published in

IEEE Transactions on Vehicular Technology

Pagination

1 - 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

issn

0018-9545

eissn

1939-9359

Copyright date

2020

Language

en

Publisher version

TBA

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