Mobile-edge computing (MEC) has emerged to enable users to offload their location data
into the MEC server, and at the same time, the MEC server executes the location-aware data …

Along with the popularity of mobile social networks (MSNs) is the increasing danger of
privacy breaches due to user location exposures. In this work, we take an initial step towards …

The burgeoning technology of Mobile Edge Computing (MEC) is attracting the traditional
Location-Based Service (LBS) and Location Service (LS) to deploy due to its nature …

LPPMs have been well surveyed based on the view of methodologies, attacks, and so on. It
has long been ignored that LBS applicability will be sacrificed due to the implementation of …

The rapid proliferation of smart mobile devices has significantly enhanced the popularization
of the cyber-physical social network, where users actively publish data with sensitive …

As a straightforward consequence of advances in the Internet of Things (IoT), location-based
service (LBS) applications have been pervasive in our daily lives. Nevertheless, since those …

In mobile edge computing (MEC), users can offload tasks to nearby MEC servers to reduce
computation cost. Considering that the size of offloaded tasks could disclose user location …

Because location-based cyber services are increasingly found in mobile applications (eg,
social networking and maps), user location privacy preservation is essential and remains …

Mobile devices are a rich source of sensitive location data. In this paper, we propose a
method for harnessing this data to provide better location predictions without sacrificing the …

Recent years have seen rising needs for location-based services in our everyday life. Aside
from the many advantages provided by these services, they have caused serious concerns …