Abstract Open Data Processing Services (ODPS) offers vast storage capacity and excellent
efficiency, which collects and stores a lot of data. As an essential component of ODPS …

With the popularity of mobile Internet, big data of trajectory not only provides convenience for
people, but also brings privacy leakage. In order to overcome the problems in the current …

LBS services generate massive amounts of trajectory data over time, which will be shared
with others for further intelligent services. Due to the ubiquity and openness of LBS, the …

Abstract 5G networks, as the up-to-date communication platforms, are experiencing fast
booming. Meanwhile, increasing volumes of sensitive data, especially location information …

Mobile devices furnish users with various services while on the move, but also raise public
concerns about trajectory privacy. Unfortunately, traditional privacy protection methods, such …

Synthetic data generation based on state-of-the-art deep learning methods has recently
emerged as a promising solution to replace the expensive and laborious collection of real …

Vehicle trajectory data is critical for traffic management and location-based services.
However, the released trajectories raise serious privacy concerns because they contain …

With the development of mobile devices and GPS, plenty of Location-based Services (LBSs)
have emerged in these years. LBSs can be applied in a variety of contexts, such as health …

The prevalence of ubiquitous location-aware devices and mobile Internet enables us to
collect massive individual-level trajectory dataset from users. Such trajectory big data bring …

Accurate and real-time trajectory data publishing plays an important role in providing users
with the latest traffic and road condition information to help in rationally planning travel time …