6G Internet of Things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The sixth-generation (6G) wireless communication networks are envisioned to revolutionize
customer services and applications via the Internet of Things (IoT) toward a future of fully …

Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G

M Vaezi, A Azari, SR Khosravirad… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …

Blockchain assisted decentralized federated learning (BLADE-FL): Performance analysis and resource allocation

J Li, Y Shao, K Wei, M Ding, C Ma, L Shi… - … on Parallel and …, 2021 - ieeexplore.ieee.org
Federated learning (FL), as a distributed machine learning paradigm, promotes personal
privacy by local data processing at each client. However, relying on a centralized server for …

A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks

A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …

Low-latency federated learning over wireless channels with differential privacy

K Wei, J Li, C Ma, M Ding, C Chen, S Jin… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
In federated learning (FL), model training is distributed over clients and local models are
aggregated by a central server. The performance of uploaded models in such situations can …

A survey on privacy for B5G/6G: New privacy challenges, and research directions

C Sandeepa, B Siniarski, N Kourtellis, S Wang… - Journal of Industrial …, 2022 - Elsevier
Massive developments in mobile wireless telecommunication networks have been made
during the last few decades. At present, mobile users are getting familiar with the latest 5G …

Dp-trajgan: A privacy-aware trajectory generation model with differential privacy

J Zhang, Q Huang, Y Huang, Q Ding… - Future Generation …, 2023 - Elsevier
Abstract Open Data Processing Services (ODPS) offers vast storage capacity and excellent
efficiency, which collects and stores a lot of data. As an essential component of ODPS …

A survey of dummy-based location privacy protection techniques for location-based services

S Zhang, M Li, W Liang, VKA Sandor, X Li - Sensors, 2022 - mdpi.com
As smart devices and mobile positioning technologies improve, location-based services
(LBS) have grown in popularity. The LBS environment provides considerable convenience …

Federated learning with unreliable clients: Performance analysis and mechanism design

C Ma, J Li, M Ding, K Wei, W Chen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Owing to the low communication costs and privacy-promoting capabilities, federated
learning (FL) has become a promising tool for training effective machine learning models …

Behavioral-Semantic Privacy Protection for Continual Social Mobility in Mobile-Internet Services

G Qiu, G Tang, C Li, D Guo, Y Shen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Crowdsensing-based mobile Internet, while facilitating users' daily life, also raises privacy
concerns because of sharing user location trajectories. Combining with open-source …