PPCS: An intelligent privacy-preserving mobile-edge crowdsensing strategy for industrial IoT
Mobile-edge crowdsensing is capable of providing a large amount of data via pervasive
mobile terminals for Industrial Internet of Things (IIoT). However, the generated data often …
mobile terminals for Industrial Internet of Things (IIoT). However, the generated data often …
DScPA: A Dynamic Sub-cluster Privacy-preserving Aggregation Scheme for Mobile Crowdsourcing in Industrial IoT
R Ma, T Feng, J Xiong, Q Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Mobile crowdsourcing (MCS) is a promising new paradigm for intelligent data perception in
large-scale sensor applications such as the Industrial Internet of Things (IIoT). This approach …
large-scale sensor applications such as the Industrial Internet of Things (IIoT). This approach …
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 …
[HTML][HTML] Achieving dynamic privacy measurement and protection based on reinforcement learning for mobile edge crowdsensing of IoT
With the maturity and development of 5G field, Mobile Edge CrowdSensing (MECS), as an
intelligent data collection paradigm, provides a broad prospect for various applications in …
intelligent data collection paradigm, provides a broad prospect for various applications in …
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 …
From centralized management to edge collaboration: A privacy-preserving task assignment framework for mobile crowdsensing
The flexible combination of pervasive portable smart devices and omnipresent high-speed
access infrastructures has revolutionized the data sensing and knowledge acquisition in …
access infrastructures has revolutionized the data sensing and knowledge acquisition in …
Achieving incentive, security, and scalable privacy protection in mobile crowdsensing services
Mobile crowdsensing as a novel service schema of the Internet of Things (IoT) provides an
innovative way to implement ubiquitous social sensing. How to establish an effective …
innovative way to implement ubiquitous social sensing. How to establish an effective …
CrowdFA: A privacy-preserving mobile crowdsensing paradigm via federated analytics
Mobile crowdsensing (MCS) systems typically struggle to address the challenge of data
aggregation, incentive design, and privacy protection, simultaneously. However, existing …
aggregation, incentive design, and privacy protection, simultaneously. However, existing …
Privacy-preserving task allocation for edge computing enhanced mobile crowdsensing
Y Hu, H Shen, G Bai, T Wang - … on Algorithms and Architectures for Parallel …, 2018 - Springer
In traditional mobile crowdsensing (MCS) applications, the crowdsensing server (CS-server)
need mobile users' precise locations for optimal task allocation, which raises privacy …
need mobile users' precise locations for optimal task allocation, which raises privacy …
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 …