A personalized privacy protection framework for mobile crowdsensing in IIoT

J Xiong, R Ma, L Chen, Y Tian, Q Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

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 …

CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning

B Zhao, X Liu, WN Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an emerging sensing data collection paradigm, mobile crowdsensing (MCS) enjoys good
scalability and low deployment cost but raises privacy concerns. In this paper, we propose a …

Enabling strong privacy preservation and accurate task allocation for mobile crowdsensing

J Ni, K Zhang, Q Xia, X Lin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Mobile crowdsensing engages a crowd of individuals to use their mobile devices to
cooperatively collect data about social events and phenomena for customers with common …

Mobile crowdsensing: A survey on privacy-preservation, task management, assignment models, and incentives mechanisms

F Khan, AU Rehman, J Zheng, MA Jan… - Future Generation …, 2019 - Elsevier
Mobile crowdsensing is a useful technique to collect detailed information from mobile
devices of the participants. The participants need to participate to sense and transmit …

Incentive mechanism for privacy-aware data aggregation in mobile crowd sensing systems

H Jin, L Su, H Xiao, K Nahrstedt - IEEE/ACM Transactions on …, 2018 - ieeexplore.ieee.org
The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …

When mobile crowdsensing meets privacy

Z Wang, X Pang, J Hu, W Liu, Q Wang… - IEEE …, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has now become an effective paradigm to collect massive data
for various sensing applications. However, the interactions between mobile users and the …

Privacy-preserving reputation management for edge computing enhanced mobile crowdsensing

L Ma, X Liu, Q Pei, Y Xiang - IEEE Transactions on Services …, 2018 - ieeexplore.ieee.org
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 …

Blockchain and federated edge learning for privacy-preserving mobile crowdsensing

Q Hu, Z Wang, M Xu, X Cheng - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
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 …

Inception: Incentivizing privacy-preserving data aggregation for mobile crowd sensing systems

H Jin, L Su, H Xiao, K Nahrstedt - … on Mobile Ad Hoc Networking and …, 2016 - dl.acm.org
The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …