End-Edge Collaborative Lightweight Secure Federated Learning for Anomaly Detection of Wireless Industrial Control Systems

End-Edge Collaborative Lightweight Secure Federated Learning for Anomaly Detection of Wireless Industrial Control Systems

With the wide applications of industrial wireless network technologies, the industrial control system (ICS) is evolving from wired and centralized to wireless and distributed, during which eavesdropping and attacking become serious problems. To guarantee the security of wireless and distributed ICS,...

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Bibliographic Details
Main Authors: Chi Xu, Xinyi Du, Lin Li, Xinchun Li, Haibin Yu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Industrial control system (ICS)
anomaly detection
federated learning
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/10449459/
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https://ieeexplore.ieee.org/document/10449459/

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