Abstract
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.
Highlights
Location-based services (LBSs) are increasingly popular in today’s society
Upon receiving an location query request from the user, an LBS provider rapidly returns back a target location list, in which all locations are ranked in an ascending order based on distances between the query user and these target locations
We evaluate the performance of our proposed scheme from the perspective of the LBS provider, the LBS user, and the cloud server, respectively
Summary
Location-based services (LBSs) are increasingly popular in today’s society. It is reported that up to 150 million people have enjoyed LBSs as early as 2014 [1]. Compared with the existing work, in this paper, we propose an efficient and secure keyword-based query scheme that allows the user to be able to first accurately locate desirable locations according to the encrypted query request and rank distances between these target locations and the user’s current location, which greatly improves the user’s location server experiences. For protecting the security of location data and user requests against the curious cloud server, we adopt a hybrid encryption to encrypt the outsourced location data and user requests while the cloud server can still provide accurately LBS query services for users by performing privacy-preserving and efficient search over the encrypted locations data.
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