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An Efficient and Privacy-Preserving Multiuser Cloud-Based LBS Query Scheme
Joint Authors
Qin, Zheng
Yin, Hui
Ou, Lu
Xiao, Sheng
Yang, Guangyi
Hu, Yupeng
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-08
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Location-based services (LBSs) are increasingly popular in today’s society.
People reveal their location information to LBS providers to obtain personalized services such as map directions, restaurant recommendations, and taxi reservations.
Usually, LBS providers offer user privacy protection statement to assure users that their private location information would not be given away.
However, many LBSs run on third-party cloud infrastructures.
It is challenging to guarantee user location privacy against curious cloud operators while still permitting users to query their own location information data.
In this paper, we propose an efficient privacy-preserving cloud-based LBS query scheme for the multiuser setting.
We encrypt LBS data and LBS queries with a hybrid encryption mechanism, which can efficiently implement privacy-preserving search over encrypted LBS data and is very suitable for the multiuser setting with secure and effective user enrollment and user revocation.
This paper contains security analysis and performance experiments to demonstrate the privacy-preserving properties and efficiency of our proposed scheme.
American Psychological Association (APA)
Ou, Lu& Yin, Hui& Qin, Zheng& Xiao, Sheng& Yang, Guangyi& Hu, Yupeng. 2018. An Efficient and Privacy-Preserving Multiuser Cloud-Based LBS Query Scheme. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1214163
Modern Language Association (MLA)
Ou, Lu…[et al.]. An Efficient and Privacy-Preserving Multiuser Cloud-Based LBS Query Scheme. Security and Communication Networks No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1214163
American Medical Association (AMA)
Ou, Lu& Yin, Hui& Qin, Zheng& Xiao, Sheng& Yang, Guangyi& Hu, Yupeng. An Efficient and Privacy-Preserving Multiuser Cloud-Based LBS Query Scheme. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1214163
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214163