Mobile users participate in numerous social media applications that revolve around user
locations, and receive customized services and recommendations tailored to their …

Trajectory datasets are widely used in location-based services, providing convenience to
users and posing privacy risks. The traditional approach to trajectory dataset protection …

Mobile users participate in numerous social media applications that revolve around user
locations, and receive customized services and recommendations tailored to their …

In recent years, wireless communication technologies and accurate positioning devices
enable us to enjoy various types of location-based services. However, revealing users …

Ubiquitous deployment of low-cost mobile positioning devices and the widespread use of
high-speed wireless networks enable massive collection of large-scale trajectory data of …

Spatio-temporal traces left behind by moving individuals are increasingly available. On the
one hand, mining this kind of data is expected to produce interesting behavioral knowledge …

With the development of smart city, more organizations analyze people's trajectory data, so
as to provide better location-based services. However, publishing the original trajectory data …

With the prevailing use of smartphones and location‐based services, vast amounts of
trajectory data are collected and used for many applications. When trajectory data are sent …

We describe a new generative algorithm called trajectory generative mechanism (TGM) for
publishing trajectory datasets with ε-differential privacy guarantee, which achieves …

The traditional privacy protection method of trajectory data release protects the whole
trajectory to the same degree, resulting in an unjustifiable allocation of the privacy budget …