Thanks to the popularity of mobile devices numerous location-based services (LBS) have
emerged. While several privacy-preserving solutions for LBS have been proposed, most of …

Pervasive smartphones boost the prosperity of location‐based service (LBS) and the
increasing data prompt LBS providers to outsource their LBS datasets to the cloud side. The …

Abstract The Location-Based Services (LBS) enables people to find location places
according to their interests. As the size of LBS dataset surprisingly increases, the LBS …

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 …

Location-Based Service (LBS) becomes increasingly popular with the dramatic growth of
smartphones and social network services (SNS), and its context-rich functionalities attract …

With the pervasiveness of smart phones, location-based services (LBS) have received
considerable attention and become more popular and vital recently. However, the use of …

The cloud computing has attracted a multitude of data owners to outsource computing and
acquire location-based services from cloud service providers. The privacy-preserving spatial …

Currently, location-based services (LBS) have been widely used in real-world settings,
including restaurant and travel recommendations. To reduce workload and improve query …

In this paper, we propose a fine-grained privacy-preserving location-based service (LBS)
framework, called FINE, for mobile devices. It adopts the data-as-a-service (DaaS) model …

Location-based services are increasingly used in our daily activities. In current services,
users however have to give up their location privacy in order to acquire the service. The …