With smartphones being so ubiquitous, more connected and largely fitted with several types
of sensors such as GPS, microphones, cameras, magnetometers, accelerometers, etc; there …

Over the past years, the emergence of intelligent networks empowered by machine learning
techniques has brought great facilitates to different aspects of human life. However, using …

With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …

Privacy-preserving online multi-task assignment is a crucial aspect of spatial crowdsensing
on untrusted platforms, where multiple real-time tasks are allocated to appropriate workers …

Recently, the growing popularity of Spatial Crowd-sourcing (SC), allowing untrusted
platforms to obtain a great quantity of information about workers and tasks' locations, has …

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 …

With a growing demand for the development of smart ocean projects, the Internet of
Underwater Things (IoUT) integrating multiple networks will gradually become the …

The Internet of Underwater Things (IoUT) gradually becomes the future direction of ocean.
Many devices, which are called the sources, are deployed in the sea to fulfill scientific …

Sensing devices, high-performance networking, and privacy preservation algorithms have
important roles to play in remotely sensed environmental data in smart cities. The data …

Cloud forensics has become increasingly critical in cloud computing security in recent years.
A fundamental problem in cloud forensics is how to safely and effectively obtain, preserve …