Security and privacy on 6g network edge: A survey
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
[PDF][PDF] Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external Internet is increasingly being connected to the contemporary industrial
control system. As a result, there is an immediate need to protect the network from several …
control system. As a result, there is an immediate need to protect the network from several …
Semi-supervised federated learning based intrusion detection method for internet of things
Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …
Hierarchical domain adaptation projective dictionary pair learning model for EEG classification in IoMT systems
Epilepsy recognition based on electroencephalogram (EEG) and artificial intelligence
technology is the main tool of health analysis and diagnosis in Internet of medical things …
technology is the main tool of health analysis and diagnosis in Internet of medical things …
Federated transfer learning in fault diagnosis under data privacy with target self-adaptation
X Li, C Zhang, X Li, W Zhang - Journal of Manufacturing Systems, 2023 - Elsevier
The past decades have witnessed great developments and applications of the data-driven
machinery fault diagnosis methods. Due to the difficulties and significant expenses in …
machinery fault diagnosis methods. Due to the difficulties and significant expenses in …
[HTML][HTML] Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application
W Guo, Y Wang, X Chen, P Jiang - Journal of intelligent manufacturing, 2024 - Springer
Abstract Machine learning with considering data privacy-preservation and personalized
models has received attentions, especially in the manufacturing field. The data often exist in …
models has received attentions, especially in the manufacturing field. The data often exist in …
The evolution of federated learning-based intrusion detection and mitigation: a survey
In 2016, Google introduced the concept of Federated Learning (FL), enabling collaborative
Machine Learning (ML). FL does not share local data but ML models, offering applications in …
Machine Learning (ML). FL does not share local data but ML models, offering applications in …
Dependable federated learning for IoT intrusion detection against poisoning attacks
Network intrusion detection methods based on federated learning (FL) and edge computing
have great potential for protecting the cybersecurity of the Internet of Things. It overcomes …
have great potential for protecting the cybersecurity of the Internet of Things. It overcomes …
A two-stage federated optimization algorithm for privacy computing in Internet of Things
J Zhang, Z Ning, F Xue - Future Generation Computer Systems, 2023 - Elsevier
With the advent of the Internet of things (IoT) era, federated learning plays an important role
in breaking through traditional data barriers and effectively realizing data privacy and …
in breaking through traditional data barriers and effectively realizing data privacy and …
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …
As a result, there is an immediate need to protect these networks from a variety of threats …