Cloud-based RFID mutual authentication scheme for efficient privacy preserving in IoV

被引:27
|
作者
Fan, Kai [1 ]
Jiang, Wei [1 ]
Luo, Qi [1 ]
Li, Hui [1 ]
Yang, Yintang [2 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[2] Xidian Univ, Key Lab, Minist Educ Wide Band Gap Semicond Mat & Devices, Xian 710071, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
NETWORKING; SECURITY;
D O I
10.1016/j.jfranklin.2019.02.023
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the continuous development of comprehensive technologies in various fields, the cyber-physical systems has been successfully applied in many fields in a large scale. The privacy and security issues in the system have gradually become the focus of attention. This article focuses on privacy protection issues in the area of Internet of Vehicles (IoV). IoV has developed rapidly and come into public consciousness quickly. Radio Frequency Identification (RFID) technology is a safe and reliable sensor data processing system, which is widely used in IoV. However, RFID system often suffers some risks of privacy disclosure. For example the owners are reluctant to disclose their private information such as their precise location information to the public network. Faced with those security risks, it is of great importance for the RFID system applied to IoV to protect private information. In this paper, we propose a cloud-based mutual authentication protocol aiming at ensuring efficient privacy preserving in IoV system, which enables people the efficiently and intelligently travel mode while protecting their privacy from divulging. Moreover, that the anonymity of tag is implemented not only protects the privacy data of the owners, but also prevents the malicious tracking from outside attackers. As to the proposed scheme, the proof based on BAN logic indicates it is of logic security. Security analysis and performance evaluation show that the scheme can be a good security solution for IoV with the feature of good safety and reliability. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:193 / 209
页数:17
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