An adaptive deep learning neural network model to enhance machine-learning-based classifiers for intrusion detection in smart grids

Modern smart grids are built based on top of advanced computing and networking technologies, where condition monitoring relies on secure cyberphysical connectivity. Over the network infrastructure, transported data containing confidential information, must be protected as smart grids are vulnerable...

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Main Authors: Li, Xue Jun, Ma, Maode, Sun, Yihan
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/171635
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