WPD-ResNeSt: Substation Station Level Network Anomaly Traffic Detection Based on Deep Transfer Learning

WPD-ResNeSt: Substation Station Level Network Anomaly Traffic Detection Based on Deep Transfer Learning

With the advancement of new infrastructures, the digitalization of the substation communication network has rapidly increased, and its information security risks have become increasingly prominent. Accurate and reliable substation communication network flow models and flow anomaly detection methods...

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Bibliographic Details
Main Authors: Ting Yang, Yucheng Hou, Yachuang Liu, Feng Zhai, Rongze Niu
Format: Article
Language:English
Published: China electric power research institute 2024-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Anomaly traffic detection
deep learning
substation station level communication network
traffic model
Online Access:https://ieeexplore.ieee.org/document/9465812/
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