DeepPAR and DeepDPA: privacy preserving and asynchronous deep learning for industrial IoT

X Zhang, X Chen, JK Liu, Y Xiang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is significant of building powerful industrial systems and
applications. Deep learning has provided a promising opportunity to extract useful …

A novel deep policy gradient action quantization for trusted collaborative computation in intelligent vehicle networks

M Chen, M Yi, M Huang, G Huang, Y Ren… - Expert Systems with …, 2023 - Elsevier
The openness of the intelligent vehicle network makes it easy for selfish or untrustworthy
vehicles to maliciously occupy limited resources in the mobile edge network or spread …

Artificial intelligence-aided privacy preserving trustworthy computation and communication in 5G-based IoT networks

T Le, S Shetty - Ad Hoc Networks, 2022 - Elsevier
Abstract 5G offers unprecedented bandwidth coupled with extremely low latency and an
extraordinarily high density of connections as well as the increased efficiency and reliability …

Novel defense schemes for artificial intelligence deployed in edge computing environment

C Zhou, Q Liu, R Zeng - Wireless Communications and Mobile …, 2020 - Wiley Online Library
The last few years have seen the great potential of artificial intelligence (AI) technology to
efficiently and effectively deal with an incredible deluge of data generated by the Internet of …

A credible and lightweight multidimensional trust evaluation mechanism for service-oriented IoT edge computing environment

Z Gao, W Zhao, C Xia, K Xiao, Z Mo… - … Congress on Internet …, 2019 - ieeexplore.ieee.org
To meet the increasing need of a reliable and service-oriented IoT edge environment, a
credible and lightweight trust evaluation mechanism is expected urgently. Due to the task …

[HTML][HTML] Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects

V Gugueoth, S Safavat, S Shetty - ICT Express, 2023 - Elsevier
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 …

Guest editorial special issue on privacy and security in distributed edge computing and evolving IoT

A Jolfaei, P Ostovari, M Alazab… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recent advances in artificial intelligence, edge computing, and big data have enabled
extensive reasoning capabilities at the edge of the network. Edge servers are now capable …

PRICELESS: Privacy enhanced AI‐driven scalable framework for IoT applications in serverless edge computing environments

M Golec, M Golec, M Xu, H Wu, SS Gill… - Internet Technology …, 2024 - Wiley Online Library
Serverless edge computing has emerged as a new paradigm that integrates the serverless
and edge computing. By bringing processing power closer to the edge of the network, it …

A trusted cloud-edge decision architecture based on blockchain and mlp for aiot

C Chi, Z Yin, Y Liu, S Chai - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the continuous development of Internet of Things (IoT) technology and artificial
intelligence (AI) technology, the demand for Artificial Intelligence of Things (AIoT) edge …

Secure and trusted collaborative learning based on blockchain for artificial intelligence of things

X Tang, L Zhu, M Shen, J Peng, J Kang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Empowered by promising artificial intelligence, the traditional Internet of Things is evolving
into the Artificial Intelligence of Things (AIoT), which is an important enabling technology for …