A crucial privacy-driven issue nowadays is re-identifying anonymized social networks by
mapping them to correlated cross-domain auxiliary networks. Prior works are typically based …

Crowdsensing systems collect large-scale sensor data from mobile devices to provide a
wide-area view of phenomena including traffic, noise and air pollution. Because such data …

As a typical example of an Intelligent Transport System (ITS) in a smart city, the bicycle
sharing is developing so fast and changing the citizens' travel habits to a large extent in …

Crowdsensing recently attracts great attention from both industry and academia. By fusing
and analyzing multi-dimensional sensing data collected from crowdsensing users, it is …

Due to the technological advancements and smart deployment, wireless sensor networks
(WSNs) receive much attention in numerous real-time application fields. The stringent …

As an essential branch of web service applications, the location-based service (LBS) plays
an irreplaceable role in our daily lives. Usually, the LBS is time-sensitive, which requires the …

Participatory sensing enables to collect a vast amount of data from the crowd by allowing a
wide variety of sources to contribute data. However, the openness of participatory sensing …

Mobile Crowdsourcing (MCS) has become an emerging paradigm evolved from
crowdsourcing by employing advanced features of mobile devices such as smartphones to …

Existing smart city systems are designed mainly for urban management from a governmental
perspective, but they fail to cover the wide spectrum of citizens' daily lives. We propose a …

In most of the existing mobile applications for data collection and data analytics, either the
privacy issue is frequently neglected or the privacy options are not configurable by the …