In conventional mobile crowdsensing (MCS) applications, the crowdsensing server (CS-
server) needs mobile users' precise locations for optimal task allocation, which raises …

With the rapid development of 5G technologies, the demand of quality of service (QoS) from
edge users, including high bandwidth and low latency, has increased dramatically. QoS …

Histograms and synthetic data are of key importance in data analysis. However, researchers
have shown that even aggregated data such as histograms, containing no obvious sensitive …

In recent years, with the rapid development of mobile Internet and smart sensor technology,
mobile crowdsensing (MCS) computing model has attracted wide concern in academia …

La privacidad contextual se refiere a la protección de toda aquella información que puede
desprenderse de la interacción entre usuarios y/o servicios, exceptuando los datos que el …

Content-based task allocation is an important part of MCS, which can effectively help data
requesters find suitable sensing users to collect data. However, users' task information may …

Data privacy is an ever important aspect of data analyses. Historically, a plethora of privacy
techniques have been introduced to protect data, but few have stood the test of time. From …

Currently, to satisfy the increasing demands for the computing and network resources at the
edge of networks, edge computing has emerged as an efficient paradigm for real-time …