PLVSNs: A Privacy-Preserving Location-Sharing System for Vehicular Social Networks

Chang Xu, Xuan Xie, Liehuang Zhu*, Chuan Zhang, Yining Liu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Combining Vehicular Ad Hoc Networks (VANET) and mobile online social networks (mOSNs), Vehicular Social Networks (VSNs) can provide more complex and rich services, including location sharing services, which brings more convenient communication and information sharing. However, location sharing in VSNs demands advanced privacy-preserving schemes to protect vehicles’ social relationships and location information. Previous solutions employ Location Based Server (LBS) to manage users’ location information. However, the server may collect the messages it has received to get more information of vehicles. Moreover, the threshold distances privacy is not properly protected, which may disclose users’ identities. In order to overcome the shortage, we propose PLVSNs, a privacy-enhanced location-sharing scheme in VSNs. It takes advantage of vehicles’ increasingly superior computing power, allowing vehicles and SNS to implement the distance comparison without LBS. Furthermore, we introduce a privacy enhanced distance comparison protocol, which provides a more efficient comparison between the actual distance and the threshold distance while not disclosing vehicles’ privacy. We also show that the new construction is secure. Finally, we implement PLVSNs and the experimental results demonstrate the efficiency of our proposed scheme.

源语言英语
主期刊名Security with Intelligent Computing and Big-data Services - Proceedings of the 2nd International Conference on Security with Intelligent Computing and Big Data Services SICBS-2018
编辑Lakhmi C. Jain, Ching-Nung Yang, Sheng-Lung Peng, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain
出版商Springer Verlag
544-557
页数14
ISBN(印刷版)9783030169459
DOI
出版状态已出版 - 2020
活动2nd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2018 - Guilin, 中国
期限: 14 12月 201816 12月 2018

出版系列

姓名Advances in Intelligent Systems and Computing
895
ISSN(印刷版)2194-5357
ISSN(电子版)2194-5365

会议

会议2nd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2018
国家/地区中国
Guilin
时期14/12/1816/12/18

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