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

Trajectory data contains spatio-temporal information about a large number of moving
objects, and analysis of this data can yield a lot of valuable information to support a variety of …

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 …

User trajectory data is critical for developing location services applications and urban traffic
management. However, user trajectory data contains sensitive information such as home …

As a reliable privacy protection method, differential privacy has been widely used in
trajectory data release. However, the current trajectory protection method based on …

Aiming at the problems of user trajectory privacy budget and personalized demand of
existing trajectory differential privacy protection technology, a personalized differential …

The existing location-based services have collected a large amount of user trajectory data,
and if these data are directly released without any processing, the user's personal privacy …

A number of security and privacy challenges of cyber system are arising due to the rapidly
evolving scale and complexity of modern system and networks. The cyber system is a …

With the development of location-based applications, more and more trajectory data are
collected. Trajectory data often contains users' sensitive information, and direct release it …

Analyzing trajectory data can provide people with a higher quality of life. However,
publishing trajectory data directly will leak privacy. The authors propose a trajectory data …