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SMAKA: Secure Many-to-Many Authentication and Key Agreement Scheme for Vehicular Networks

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journal contribution
posted on 2021-01-12, 15:17 authored by Jing Zhang, Hong Zhong, Jie Cui, Yan Xue, Lu Liu
With the rising popularity of the Internet and communication technology, vehicles can analyze and judge the real-time data collected by various cloud service providers (CSPs) in a vehicular network. However, in a vehicular network environment, real-time data are transmitted via wireless channels, which can lead to security and privacy issues. To avoid illegal access by adversaries, vehicle authentication and key agreement mechanism has been considered as one of the promising security measures in vehicular network environments. Besides, most of the solutions focus on authentication between one vehicle and one CSP. In such strategies, the implementation of efficient authentication for multiple vehicles and CSPs simultaneously is usually challenging. Further, they are also subjected to performance limitations due to the overhead incurred. To solve these issues, we propose a many-to-many authentication and key agreement scheme for secure authentication between multiple vehicles and CSPs. The proposed scheme can prevent unauthorized access and provide SK-security even if temporary information is leaked. To improve the service, the CSP only needs to broadcast an anonymous message periodically instead of having to generate a unique anonymous message for each of vehicles. Similarly, when a vehicle wants to request the services of m CSPs, it only needs to send one request message instead of m . Therefore, the proposed scheme not only implements many-to-many communication but also significantly reduces the computation and communication overhead. Moreover, a thorough security analysis shows that the proposed scheme provides better security compared to other related schemes.

Funding

The work was supported by the National Natural Science Foundation of China (No. 61872001, No. 62011530046, No.U1936220), the Cooperation and Exchange Project between NSFC and RFBR (No. 20-57-53019, No. 62011530046), the Open Fund of Key Laboratory of Embedded System and Service Computing (Tongji University), 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 Information Forensics and Security ( Volume: 16), pp. 1810-1824

Author affiliation

School of Informatics

Version

  • AM (Accepted Manuscript)

Published in

IEEE Transactions on Information Forensics and Security

Volume

16

Pagination

1810-1824

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

issn

1556-6013

Available date

2020-12-14

Language

en

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