Machine learning differential privacy with multifunctional aggregation in a fog computing architecture

M Yang, T Zhu, B Liu, Y Xiang, W Zhou - IEEE Access, 2018 - ieeexplore.ieee.org
Data aggregation plays an important role in the Internet of Things, and its study and analysis
has resulted in a range of innovative services and benefits for people. However, the privacy …

Local differential privacy-based federated learning for internet of things

Y Zhao, J Zhao, M Yang, T Wang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a promising branch of the Internet of Things. IoV simulates a
large variety of crowdsourcing applications, such as Waze, Uber, and Amazon Mechanical …

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 …

Secure hot path crowdsourcing with local differential privacy under fog computing architecture

M Yang, I Tjuawinata, KY Lam… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Crowdsourcing plays an essential role in the Internet of Things (IoT) for data collection,
where a group of workers is equipped with Internet-connected geolocated devices to collect …

Personalized privacy-aware task offloading for edge-cloud-assisted industrial internet of things in automated manufacturing

D Wei, N Xi, X Ma, M Shojafar… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) devices are widely used for monitoring and controlling the
process of automated manufacturing. Owing to the limited computing capacity of the IIoT …

The novel location privacy-preserving CKD for mobile crowdsourcing systems

Z Chi, Y Wang, Y Huang, X Tong - IEEE Access, 2017 - ieeexplore.ieee.org
With the development of mobile devices, mobile crowdsourcing has become the research
hotspot in mobile crowd sensing networks (MCSS). How to protect the location privacy of …

CrowdR-FBC: A distributed fog-blockchains for mobile crowdsourcing reputation management

Y Yu, S Liu, L Guo, PL Yeoh… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Mobile crowdsourcing is a promising strategy for trusted data collection in Internet-of-Things
(IoT) applications. In this article, we propose a new fog-blockchain distributed approach for …

QLDS: A novel design scheme for trajectory privacy protection with utility guarantee in participatory sensing

Z Xiao, JJ Yang, M Huang… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Participatory sensing, leveraging on the ubiquity of cheap sensors in mobile devices,
enables various promising applications of great social benefit. However, its ubiquitous …

Towards practical privacy-preserving decision tree training and evaluation in the cloud

L Liu, R Chen, X Liu, J Su, L Qiao - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to the capacity of storing massive data and providing huge computing resources, cloud
computing has been a desirable platform for doing machine learning. However, the issue of …

DeePGA: A privacy-preserving data aggregation game in crowdsensing via deep reinforcement learning

Y Liu, H Wang, M Peng, J Guan, J Xu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
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 …