VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV

Yinyan Gong; Kuanching Li; Lijun Xiao; Jiahong Cai; Jiahong Xiao; Wei Liang; Muhammad Khurram Khan

doi:10.3390/s23115198

VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV

Sensors (Basel). 2023 May 30;23(11):5198. doi: 10.3390/s23115198.

Authors

Yinyan Gong^{1

2}, Kuanching Li^{1

2}, Lijun Xiao³, Jiahong Cai^{1

2}, Jiahong Xiao^{1

2}, Wei Liang^{1

2}, Muhammad Khurram Khan⁴

Affiliations

¹ School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
² Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan 411201, China.
³ College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China.
⁴ Center of Excellence in Information Assurance, King Saud University, Riyadh 11653, Saudi Arabia.

Abstract

With the rapid growth in wireless communication and IoT technologies, Radio Frequency Identification (RFID) is applied to the Internet of Vehicles (IoV) to ensure the security of private data and the accuracy of identification and tracking. However, in traffic congestion scenarios, frequent mutual authentication increases the overall computing and communication overhead of the network. For this reason, in this work, we propose a lightweight RFID security fast authentication protocol for traffic congestion scenarios, designing an ownership transfer protocol to transfer access rights to vehicle tags in non-congestion scenarios. The edge server is used for authentication, and the elliptic curve cryptography (ECC) algorithm and the hash function are combined to ensure the security of vehicles' private data. The Scyther tool is used for the formal analysis of the proposed scheme, and this analysis shows that the proposed scheme can resist typical attacks in mobile communication of the IoV. Experimental results show that, compared to other RFID authentication protocols, the calculation and communication overheads of the tags proposed in this work are reduced by 66.35% in congested scenarios and 66.67% in non-congested scenarios, while the lowest are reduced by 32.71% and 50%, respectively. The results of this study demonstrate a significant reduction in the computational and communication overhead of tags while ensuring security.

Keywords: ECC; IoV; RFID; Scyther; authentication.

MeSH terms

Algorithms
Communication
Computer Security
Internet
Radio Frequency Identification Device* / methods

Grants and funding

This work was partially supported by the National Natural Science Foundation of China under Grants 62072170, the Science and Technology Project of the Department of Communications of Hunan Provincial under Grant 202101, the Key Research and Development Program of Hunan Province under Grant 2022GK2015, and the Hunan Provincial Natural Science Foundation of China under Grant 2021JJ30141. We extend our appreciation to the Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia for funding this research work through project no. (IFKSUOR3–061-1).