[HTML][HTML] A systematic review on machine learning and deep learning models for electronic information security in mobile networks
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 …
tremendous volume of data being generated. Most of our information is part of a widespread …
Management and orchestration of edge computing for iot: A comprehensive survey
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …
applications in the past decades, the traditional cloud network architecture becomes unable …
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 …
requests to gather private data from an edge-computing-based IoT cloud storage system …
A new privacy preservation mechanism and a gain iterative disturbance observer for multiagent systems
M Wang, H Liang, Y Pan, X Xie - 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 …
proposed for multiagent systems. The proposed privacy protection mechanism can realize …
A privacy-preserving federated learning for multiparty data sharing in social IoTs
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 …
Computing and Social Internet of Things (IoT) have enriched our lives over the past few …
A blockchain-based machine learning framework for edge services in IIoT
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 …
processing of information in the Industrial Internet of Things (IIoT). However, the continuous …
TRAC: traceable and revocable access control scheme for mHealth in 5G-enabled IIoT
Mobile healthcare (mHealth) enables people to collect and share their personal health
records (PHRs) and gain rapid medical treatment via mobile 5G-enabled Industrial Internet …
records (PHRs) and gain rapid medical treatment via mobile 5G-enabled Industrial Internet …
Real-time detection method for small traffic signs based on Yolov3
H Zhang, L Qin, J Li, Y Guo, Y Zhou, J Zhang… - Ieee …, 2020 - ieeexplore.ieee.org
It is very challenging to detect traffic signs using a high-precision real-time approach in
realistic scenes with respect to driver-assistance systems for driving vehicles and …
realistic scenes with respect to driver-assistance systems for driving vehicles and …
A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning
The crowdsourcing scheme emerges as a promising solution for data-based application in
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …
A blockchain-based secure key management scheme with trustworthiness in DWSNs
Dynamic wireless sensor networks (DWSNs) as an important means of industrial data
collection are a key part of industrial Internet of Things (IIoT), where security and reliability …
collection are a key part of industrial Internet of Things (IIoT), where security and reliability …