Message sharing scheme based on edge computing in IoV

Shufen Niu; Wei Liu; Sen Yan; Qi Liu; Shufen Niu; Wei Liu; Sen Yan; Qi Liu

doi:10.3934/mbe.2023921

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 12: 20809-20827. doi: 10.3934/mbe.2023921

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Research article

Message sharing scheme based on edge computing in IoV

College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China

Academic Editor: Yuan Tian

Received: 12 September 2023 Revised: 06 November 2023 Accepted: 13 November 2023 Published: 20 November 2023

With the rapid development of 5G wireless communication and sensing technology, the Internet of Vehicles (IoV) will establish a widespread network between vehicles and roadside infrastructure. The collected road information is transferred to the cloud server with the assistance of roadside infrastructure, where it is stored and made available to other vehicles as a resource. However, in an open cloud environment, message confidentiality and vehicle identity privacy are severely compromised, and current attribute-based encryption algorithms still burden vehicles with large computational costs. In order to resolve these issues, we propose a message-sharing scheme in IoV based on edge computing. To start, we utilize attribute-based encryption techniques to protect the communications being delivered. We introduce edge computing, in which the vehicle outsources some operations in encryption and decryption to roadside units to reduce the vehicle's computational load. Second, to guarantee the integrity of the message and the security of the vehicle identity, we utilize anonymous identity-based signature technology. At the same time, we can batch verify the message, which further reduces the time and transmission of verifying a large number of message signatures. Based on the computational Diffie-Hellman problem, it is demonstrated that the proposed scheme is secure under the random oracle model. Finally, the performance analysis results show that our work is more computationally efficient compared to existing schemes and is more suitable for actual vehicle networking.
- Internet of Vehicles (IoV),
- attribute-based encryption,
- authentication,
- batch verification,
- edge computing
Citation: Shufen Niu, Wei Liu, Sen Yan, Qi Liu. Message sharing scheme based on edge computing in IoV[J]. Mathematical Biosciences and Engineering, 2023, 20(12): 20809-20827. doi: 10.3934/mbe.2023921

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Abstract

With the rapid development of 5G wireless communication and sensing technology, the Internet of Vehicles (IoV) will establish a widespread network between vehicles and roadside infrastructure. The collected road information is transferred to the cloud server with the assistance of roadside infrastructure, where it is stored and made available to other vehicles as a resource. However, in an open cloud environment, message confidentiality and vehicle identity privacy are severely compromised, and current attribute-based encryption algorithms still burden vehicles with large computational costs. In order to resolve these issues, we propose a message-sharing scheme in IoV based on edge computing. To start, we utilize attribute-based encryption techniques to protect the communications being delivered. We introduce edge computing, in which the vehicle outsources some operations in encryption and decryption to roadside units to reduce the vehicle's computational load. Second, to guarantee the integrity of the message and the security of the vehicle identity, we utilize anonymous identity-based signature technology. At the same time, we can batch verify the message, which further reduces the time and transmission of verifying a large number of message signatures. Based on the computational Diffie-Hellman problem, it is demonstrated that the proposed scheme is secure under the random oracle model. Finally, the performance analysis results show that our work is more computationally efficient compared to existing schemes and is more suitable for actual vehicle networking.

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