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题名Multi-Fogs-Based Traceable Privacy-Preserving Scheme for Vehicular Identity in Internet of Vehicles
作者
发表日期2021
发表期刊IEEE Transactions on Intelligent Transportation Systems
ISSN/eISSN1524-9050
卷号23期号:8页码:12544-12561
摘要

Internet of Vehicles (IoV) is a variant of Vehicular Ad-Hoc Network (VANET), it is being developed as an important communication way between vehicles. However, when some traffic messages are collected in IoV, these messages are usually linked to specific identifiable information. Therefore, there exists the privacy-preserving problem of vehicular identities in IoV. On the other hand, if the private information of vehicles is fully protected in IoV, then the true vehicular identities cannot be determined because the transferred messages are not related with the specific information of vehicles. Then it will also lead to more security problems in IoV. Additionally, fog computing seamlessly integrates heterogeneous computing resources widely distributed in edge networks and then provides stronger computing services for users. Therefore, in this paper we propose a decentralized traceable privacy-preserving scheme for vehicular identity in fog computing-based IoV, where our scheme uses multiple fog servers to trace the specific identity and most likely trajectory of a vehicle by the collected data under certain conditions. In our scheme, the true identity of a vehicle is hidden to some related parameters generated by the certificate authority; further the secret sharing scheme is used to hide and trace the true identity of a vehicle. We construct a voting mechanism to generate the most reliable fog server, which is able to calculate the true identity and corresponding trajectory of a vehicle by reconstructing the polynomial based on the secret sharing scheme. Additionally, we analyze that our scheme can satisfy the security requirements, and formally prove that the data collection procedure is secure under the real-or-random model. Also, the experimental results show our scheme is efficient in IoV.

关键词fog computing Internet of vehicles identity privacy traceability
DOI10.1109/TITS.2021.3115171
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收录类别SCIE
语种英语English
WOS研究方向Engineering ; Transportation
WOS类目Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号WOS:000732344800001
Scopus入藏号2-s2.0-85119622991
引用统计
被引频次:11[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/8350
专题理工科技学院
通讯作者Gu, Ke
作者单位
1.School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China (e-mail: gk4572@163.com)
2.School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China.
3.School of Computer Science and Engineering, Institute for Cyber Security, University of Electronic Science and Technology of China, Chengdu 611731, China.
4.Guangdong Key Lab of AI and Multi-modal Data Processing, Beijing Normal University-Hong Kong Baptist University United International College (UIC), Zhuhai, Guangdong Province 519087, China.
推荐引用方式
GB/T 7714
Gu, Ke,Wang, Keming,Li, Xionget al. Multi-Fogs-Based Traceable Privacy-Preserving Scheme for Vehicular Identity in Internet of Vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(8): 12544-12561.
APA Gu, Ke, Wang, Keming, Li, Xiong, & Jia, Weijia. (2021). Multi-Fogs-Based Traceable Privacy-Preserving Scheme for Vehicular Identity in Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12544-12561.
MLA Gu, Ke,et al."Multi-Fogs-Based Traceable Privacy-Preserving Scheme for Vehicular Identity in Internet of Vehicles". IEEE Transactions on Intelligent Transportation Systems 23.8(2021): 12544-12561.
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