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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationSecurity with Intelligent Computing and Big-data Services - Proceedings of the 2nd International Conference on Security with Intelligent Computing and Big Data Services SICBS-2018
EditorsLakhmi C. Jain, Ching-Nung Yang, Sheng-Lung Peng, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain
PublisherSpringer Verlag
Pages544-557
Number of pages14
ISBN (Print)9783030169459
DOIs
Publication statusPublished - 2020
Event2nd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2018 - Guilin, China
Duration: 14 Dec 201816 Dec 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume895
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference2nd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2018
Country/TerritoryChina
CityGuilin
Period14/12/1816/12/18

Keywords

  • Location-sharing
  • Privacy-preservation
  • Vehicular Social Networks

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