VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV
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 a...
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Aineistotyyppi: | Artikkeli |
Kieli: | English |
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MDPI AG
2023-05-01
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Sarja: | Sensors |
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Linkit: | https://www.mdpi.com/1424-8220/23/11/5198 |
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author | Yinyan Gong Kuanching Li Lijun Xiao Jiahong Cai Jiahong Xiao Wei Liang Muhammad Khurram Khan |
author_facet | Yinyan Gong Kuanching Li Lijun Xiao Jiahong Cai Jiahong Xiao Wei Liang Muhammad Khurram Khan |
author_sort | Yinyan Gong |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T02:56:36Z |
format | Article |
id | doaj.art-518979fb13484f3f96f856ee8f8d53e1 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T02:56:36Z |
publishDate | 2023-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-518979fb13484f3f96f856ee8f8d53e12023-11-18T08:33:52ZengMDPI AGSensors1424-82202023-05-012311519810.3390/s23115198VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoVYinyan Gong0Kuanching Li1Lijun Xiao2Jiahong Cai3Jiahong Xiao4Wei Liang5Muhammad Khurram Khan6School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaCollege of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaCenter of Excellence in Information Assurance, King Saud University, Riyadh 11653, Saudi ArabiaWith 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.https://www.mdpi.com/1424-8220/23/11/5198authenticationECCRFIDScytherIoV |
spellingShingle | Yinyan Gong Kuanching Li Lijun Xiao Jiahong Cai Jiahong Xiao Wei Liang Muhammad Khurram Khan VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV Sensors authentication ECC RFID Scyther IoV |
title | VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV |
title_full | VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV |
title_fullStr | VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV |
title_full_unstemmed | VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV |
title_short | VASERP: An Adaptive, Lightweight, Secure, and Efficient RFID-Based Authentication Scheme for IoV |
title_sort | vaserp an adaptive lightweight secure and efficient rfid based authentication scheme for iov |
topic | authentication ECC RFID Scyther IoV |
url | https://www.mdpi.com/1424-8220/23/11/5198 |
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