School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan 411201, China.
Sensors (Basel). 2023 May 30;23(11):5198. doi: 10.3390/s23115198.
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.
随着无线通信和物联网技术的快速发展，射频识别（RFID）技术被应用于车联网（IoV）中，以确保私人数据的安全性和识别与跟踪的准确性。然而，在交通拥堵场景中，频繁的相互认证会增加网络的整体计算和通信开销。为此，在这项工作中，我们提出了一种适用于交通拥堵场景的轻量级 RFID 安全快速认证协议，设计了一种所有权转移协议，以便在非拥堵场景中将访问权限转移到车辆标签。边缘服务器用于认证，同时结合椭圆曲线密码学（ECC）算法和哈希函数，以确保车辆私人数据的安全性。使用 Scyther 工具对所提出的方案进行形式化分析，分析结果表明，所提出的方案能够抵抗车联网移动通信中的典型攻击。实验结果表明，与其他 RFID 认证协议相比，在拥堵场景下，本文提出的标签的计算和通信开销分别降低了 66.35%和 66.67%，在非拥堵场景下分别降低了 66.67%和 50%，最低分别降低了 32.71%和 50%。研究结果表明，在确保安全性的同时，显著降低了标签的计算和通信开销。
