An AI-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of IoT
J Xiong, M Zhao, MZA Bhuiyan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The mobile crowdsensing (MCS) technology with a large number of Internet of Things (IoT)
devices provides an economic and efficient solution to participation in coordinated large …
devices provides an economic and efficient solution to participation in coordinated large …
A personalized privacy protection framework for mobile crowdsensing in IIoT
With the rapid digitalization of various industries, mobile crowdsensing (MCS), an intelligent
data collection and processing paradigm of the industrial Internet of Things, has provided a …
data collection and processing paradigm of the industrial Internet of Things, has provided a …
Blockchain and federated edge learning for privacy-preserving mobile crowdsensing
Mobile crowdsensing (MCS) counting on the mobility of massive workers helps the
requestor accomplish various sensing tasks with more flexibility and lower cost. However, for …
requestor accomplish various sensing tasks with more flexibility and lower cost. However, for …
A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning
The crowdsourcing scheme emerges as a promising solution for data-based application in
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …
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 …
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 …
Privacy-preserving reputation management for edge computing enhanced mobile crowdsensing
Mobile crowdsensing (MCS) has gained popularity for its potential to leverage individual
mobile devices to sense, collect, and analyze data instead of deploying sensors. As the …
mobile devices to sense, collect, and analyze data instead of deploying sensors. As the …
Big data analytics by crowdlearning: Architecture and mechanism design
Crowdsensing has emerged as a powerful tool to collect IoT big data. Moving big data to the
cloud for analysis is time consuming and has the risk of data privacy leakage. An alternative …
cloud for analysis is time consuming and has the risk of data privacy leakage. An alternative …
A triple real-time trajectory privacy protection mechanism based on edge computing and blockchain in mobile crowdsourcing
W Wang, Y Wang, P Duan, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
Privacy-preserving online task allocation in edge-computing-enabled massive crowdsensing
We propose a novel context-aware task allocation framework for mobile crowdsensing in the
scenario of edge computing to enable the crowdsensing platform effectively and real-timely …
scenario of edge computing to enable the crowdsensing platform effectively and real-timely …