A data marketplace is an online venue that brings data owners, data brokers, and data
consumers together and facilitates commoditisation of data amongst them. Data pricing, as a …

Mobile crowd sensing (MCS) is a technique where sensing tasks are outsourced to a crowd
of mobile users. Since most of sensing tasks are location-dependent, workers are required …

We develop an auction framework for privacy-preserving data aggregation in mobile
crowdsensing, where the platform plays the role as an auctioneer to recruit workers for …

Mobile crowd sensing (MCS) arises as a promising data collection paradigm that leverages
the power of ubiquitous mobile devices to acquire rich information regarding their …

We develop an auction framework for privacy-preserving data aggregation in mobile
crowdsensing, where the platform plays the role as an auctioneer to recruit workers for a …

The advancement of information technologies such as Web 2.0 and Cloud Computing and
the increasing deployment and use of the Internet of Things have promoted the capture …

The recent advances in wireless sensor networks and sensing techniques enable various
time-sensitive applications that require timely exchange of updates between a Base Station …

We study a privacy-preserving data collection problem by considering individuals' data
correlation and social relationship. A data collector gathers data from some data reporters to …

In the digital age, data is a valuable commodity, and data marketplaces offer lucrative
opportunities for data owners to monetize their private data. However, data privacy is a …

Data reporters have privacy concerns when they are requested to contribute personal data
to a data collector. Such privacy concerns are strengthened by data correlation and social …