The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …

Publishing trajectory data (individual's movement information) is very useful, but it also
raises privacy concerns. To handle the privacy concern, in this paper, we apply differential …

With the popularization of mobile devices with positioning functions, location-based service
(LBS) plays a vital role in people's daily lives. The problem of privacy leakage becomes …

With the development of location-aware technology, a large amount of location data of users
is collected by the trajectory database. If these trajectory data are directly used for data …

With the explosive growth of information on the web and the quick provision of novel web
services, recommendation systems have emerged as efficient mechanism for providing …

In this paper, we study the problem of protecting privacy in trajectory datasets from
adversaries who can exploit their partial knowledge to infer unknown locations. To efficiently …

Location-based recommendation services can provide users with convenient services, but
this requires monitoring and collecting a large amount of location information. In order to …

E‐learning platforms are becoming more and more important and they are gradually
changing people's learning ways. In the e‐learning platforms, users actively create and join …

Trying to solve the problem of weight information disclosure in weighted social network, a
privacy preserving data publishing method named DWT-DP is proposed in the paper. After …

With the rapid development of wireless communication and localization technologies, the
easier collection of trajectory data can bring potential data-driven value. Recently, there has …