Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

There has been a trend of moving from simply de-identification to providing extended data
control to their owner (eg, data portability and right to be forgotten), partly due to the …

The development of mobile cloud computing technology has made location-based service
(LBS) increasingly more popular. Given the continuous requests to cloud LBS servers, the …

Trajectory data has become ubiquitous nowadays, which can benefit various real-world
applications such as traffic management and location-based services. However, trajectories …

A mutual correlation between trajectories of two users is very helpful to real-life applications
such as product recommendation and social media. While providing tremendous benefits …

The traditional trajectory privacy preserving methods are static releasing methods, only
focusing on the trajectories in a specific time span. Therefore, the traditional methods need …

Wireless Sensor Networks (WSNs) are an essential part of the Internet of Things (IoT). In
WSNs, sensors are randomly deployed in harsh environments for monitoring purposes. In …

Temporally correlated trajectories are ubiquitous, and it has been a challenging problem to
protect the temporal correlation from being used against users' privacy. In this paper, we …

The recent COVID-19 pandemic in Italy has highlighted several critical issues in the
management process of infected people. At the health level, the management of the COVID …

With the widespread use of Location-base Services (LBSs), the problem of location privacy
has drawn significant attention from the research community. To protect the user's exact …