TY - JOUR A2 - Li, Zhenyu AU - Ou, Lu AU - Yin, Hui AU - Qin, Zheng AU - Xiao, Sheng AU - Yang, Guangyi AU - Hu, Yupeng PY - 2018 DA - 2018/03/08 TI - An Efficient and Privacy-Preserving Multiuser Cloud-Based LBS Query Scheme SP - 4724815 VL - 2018 AB - 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. SN - 1939-0114 UR - https://doi.org/10.1155/2018/4724815 DO - 10.1155/2018/4724815 JF - Security and Communication Networks PB - Hindawi KW - ER -