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 …
Strategy for reliable, efficient and secure IoT using artificial intelligence.
Abstract The Internet of Things (IoT), one of the leading cutting-edge innovations, has
become an economically attractive field of focus for the scientific community. It requires …
become an economically attractive field of focus for the scientific community. It requires …
A secure and privacy-preserving machine learning model sharing scheme for edge-enabled IoT
X Zhou, K Xu, N Wang, J Jiao, N Dong, M Han… - IEEE Access, 2021 - ieeexplore.ieee.org
With the popular use of IoT devices, edge computing has been widely applied in the Internet
of things (IoT) and regarded as a promising solution for its wide distribution, decentralization …
of things (IoT) and regarded as a promising solution for its wide distribution, decentralization …
[HTML][HTML] Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …
from potential adversarial attacks. However, it is challenging to design a suitable security …
Privacy-preserving collaborative deep learning with unreliable participants
With powerful parallel computing GPUs and massive user data, neural-network-based deep
learning can well exert its strong power in problem modeling and solving, and has archived …
learning can well exert its strong power in problem modeling and solving, and has archived …
Privacy-preserving federated deep learning for wearable IoT-based biomedical monitoring
IoT devices generate massive amounts of biomedical data with increased digitalization and
development of the state-of-the-art automated clinical data collection systems. When …
development of the state-of-the-art automated clinical data collection systems. When …
An approach of flow compensation incentive based on Q-learning strategy for IoT user privacy protection
L Chen, D Zhang, J Zhang, T Zhang, J Du… - AEU-International Journal …, 2022 - Elsevier
In MCS (mobile crowd sensing), reducing network overhead, protecting IoT user privacy and
increasing the participation enthusiasm of perception task are key issues. The QLPPIA (an …
increasing the participation enthusiasm of perception task are key issues. The QLPPIA (an …
A decentralized and trusted edge computing platform for Internet of Things
With the development of Internet of Things (IoT), edge computing becomes more and more
prevalent currently. However, edge computing needs to deploy a large number of edge …
prevalent currently. However, edge computing needs to deploy a large number of edge …
MMDA: Multidimensional and multidirectional data aggregation for edge computing-enhanced IoT
In an edge computing-enhanced Internet of Things (IoT) setup, data can be processed
closer to the IoT devices (ie at the network edge). However, security and privacy remain two …
closer to the IoT devices (ie at the network edge). However, security and privacy remain two …
A privacy-preserving mechanism based on local differential privacy in edge computing
M Bi, Y Wang, Z Cai, X Tong - China Communications, 2020 - ieeexplore.ieee.org
With the development of Internet of Things (IoT), the delay caused by network transmission
has led to low data processing efficiency. At the same time, the limited computing power and …
has led to low data processing efficiency. At the same time, the limited computing power and …