Research Area: Cloud Security
Location-based services (LBSs) are increasingly popular in todays 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.
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Author(s) Name: Lu Ou ,Hui Yin ,Zheng Qin , Sheng Xiao ,Guangyi Yang, and Yupeng Hu
Journal name: Security and Communication Networks
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Publisher name: Hindawi
DOI: 10.1155/2018/4724815
Volume Information: Volume 2018
