TY - GEN
T1 - PLVSNs
T2 - 2nd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2018
AU - Xu, Chang
AU - Xie, Xuan
AU - Zhu, Liehuang
AU - Zhang, Chuan
AU - Liu, Yining
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Location-sharing
KW - Privacy-preservation
KW - Vehicular Social Networks
UR - http://www.scopus.com/inward/record.url?scp=85065536314&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-16946-6_44
DO - 10.1007/978-3-030-16946-6_44
M3 - Conference contribution
AN - SCOPUS:85065536314
SN - 9783030169459
T3 - Advances in Intelligent Systems and Computing
SP - 544
EP - 557
BT - 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
A2 - Jain, Lakhmi C.
A2 - Yang, Ching-Nung
A2 - Peng, Sheng-Lung
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
PB - Springer Verlag
Y2 - 14 December 2018 through 16 December 2018
ER -