摘要

With the popularity of mobile devices (e. g., smart phones), location based services have become an integral part of humans' daily life. The privacy issues related with these services are becoming main concerns because of the leakage of users' locations and query contents. Current privacy preserving solutions are focusing on temporal and spatial cloaking based methods to protect users' location privacy. However, these solutions are vulnerable when subjected to continuous query environments. In this paper, we set to tackle the problem of query linking privacy preserving for continuous LBS queries. We propose a cloud-based architecture to provide authenticated privacy preservation function. We design a novel privacy preserving algorithm named AVD-DCA (Authenticated Velocity-Distance based Dynamic Cloaking Algorithm) which preserves privacy for users based on their security profiles, their similarities in velocity and employing a Minimum Spanning Tree based cloaking mechanism. The experiments results show that AVD-DCA preserves privacy for users as well as achieving desired QoS.

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