Edge AI for Internet of Energy: Challenges and perspectives

Y Himeur, AN Sayed, A Alsalemi, F Bensaali, A Amira - Internet of Things, 2024 - Elsevier
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

5G/6G-enabled metaverse technologies: Taxonomy, applications, and open security challenges with future research directions

M Adil, H Song, MK Khan, A Farouk, Z ** - Journal of Network and …, 2024 - Elsevier
Internet technology has proven to be a vital contributor to many cutting-edge innovations that
have given humans access to interact virtually with objects. Until now, numerous virtual …

A new privacy preservation mechanism and a gain iterative disturbance observer for multiagent systems

M Wang, H Liang, Y Pan, X **e - IEEE Transactions on Network …, 2023 - ieeexplore.ieee.org
A new privacy preservation mechanism and a gain iterative disturbance observer are
proposed for multiagent systems. The proposed privacy protection mechanism can realize …

A privacy-preserving federated learning for multiparty data sharing in social IoTs

L Yin, J Feng, H Xun, Z Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As 5G and mobile computing are growing rapidly, deep learning services in the Social
Computing and Social Internet of Things (IoT) have enriched our lives over the past few …

Optimal privacy preservation strategies with signaling Q-learning for edge-computing-based IoT resource grant systems

S Shen, X Wu, P Sun, H Zhou, Z Wu, S Yu - Expert Systems with …, 2023 - Elsevier
Data privacy leakage can be severe when a malicious Internet of Things (IoT) node sends
requests to gather private data from an edge-computing-based IoT cloud storage system …

Blockchain-enabled secure and trusted federated data sharing in IIoT

Z Zhou, Y Tian, J **ong, J Ma… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning breaks down data silos and promotes the intelligence of the Industrial
Internet of Things (IIoT). However, the principal–agent architecture commonly used in …

A systematic review on machine learning and deep learning models for electronic information security in mobile networks

C Gupta, I Johri, K Srinivasan, YC Hu, SM Qaisar… - Sensors, 2022 - mdpi.com
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …

[HTML][HTML] Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes

Y Shen, S Shen, Q Li, H Zhou, Z Wu, Y Qu - Digital Communications and …, 2023 - Elsevier
The fast proliferation of edge devices for the Internet of Things (IoT) has led to massive
volumes of data explosion. The generated data is collected and shared using edge-based …

A blockchain-based machine learning framework for edge services in IIoT

Y Tian, T Li, J **ong, MZA Bhuiyan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge services provide an effective and superior means of real-time transmissions and rapid
processing of information in the Industrial Internet of Things (IIoT). However, the continuous …

Management and orchestration of edge computing for IoT: A comprehensive survey

Y Chiang, Y Zhang, H Luo, TY Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …