[HTML][HTML] Fischer linear discrimination and quadratic discrimination analysis–based data mining technique for internet of things framework for Healthcare
The internet of reality or augmented reality has been considered a breakthrough and an
outstanding critical mutation with an emphasis on data mining leading to dismantling of …
outstanding critical mutation with an emphasis on data mining leading to dismantling of …
An incentive mechanism for privacy-preserving crowdsensing via deep reinforcement learning
With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and
computing capabilities increases dramatically, paving the way toward an emerging …
computing capabilities increases dramatically, paving the way toward an emerging …
Anonymous and verifiable reputation system for E-commerce platforms based on blockchain
E-commerce platforms incorporate reputation systems that allow customers to rate suppliers
following financial transactions. Existing reputation systems cannot defend the centralized …
following financial transactions. Existing reputation systems cannot defend the centralized …
Fog data management: A vision, challenges, and future directions
Cloud computing with its key facets and its inherent advantages still faces several
challenges in the Internet of Things (IoT) ecosystem. The distance among the IoT end …
challenges in the Internet of Things (IoT) ecosystem. The distance among the IoT end …
Privacy-preserving traffic monitoring with false report filtering via fog-assisted vehicular crowdsensing
Traffic monitoring system empowers cloud server and drivers to collect real-time driving
information and acquire traffic conditions. However, drivers are more interested in local …
information and acquire traffic conditions. However, drivers are more interested in local …
APIS: Privacy-preserving incentive for sensing task allocation in cloud and edge-cooperation mobile Internet of Things with SDN
The popularization of mobile devices connected to the network promotes the rise and
development of the emerging mobile Internet of Things (MIoT). Crowdsensing is a promising …
development of the emerging mobile Internet of Things (MIoT). Crowdsensing is a promising …
DeePGA: A privacy-preserving data aggregation game in crowdsensing via deep reinforcement learning
The Internet of Things has such a profound impact that we have witnessed crowdsensing
has emerged as the most popular sensing paradigm where participants sense and …
has emerged as the most popular sensing paradigm where participants sense and …
Privacyeafl: Privacy-enhanced aggregation for federated learning in mobile crowdsensing
Mobile crowdsensing (MCS) combined with federated learning, as an emerging data
collection and intelligent process paradigm, has received lots of attention in social networks …
collection and intelligent process paradigm, has received lots of attention in social networks …
DREAM: Online control mechanisms for data aggregation error minimization in privacy-preserving crowdsensing
Nowadays, by integrating the smart devices carried by users with existing communication
infrastructures to provide large-scale, fine-grained and complex sensing services …
infrastructures to provide large-scale, fine-grained and complex sensing services …
Resilient participant selection under vulnerability induced colluding attacks for crowdsourcing
This paper investigates the problem of participant selection considering colluding attacks for
crowdsourcing. Compared with existing work, a practical vulnerability-induced colluding …
crowdsourcing. Compared with existing work, a practical vulnerability-induced colluding …