Model training method, network attack detection method and device, equipment and medium

The invention discloses a model training method, a network attack detection method, a network attack detection device, network attack detection equipment and a medium, and the method comprises the steps: carrying out the dimension reduction of all high-dimensional network data in an original source...

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Hauptverfasser: ZOU XIAOMING, ZENG XIAYE, WANG XITONG, LIU CHUQUN, LEI YU, HUANG QINGPING, ZHANG LUJUAN, ZHENG XINGYUE, YE MINGWU, ZHONG CHAOYI, HE YI, TAN CUIRONG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a model training method, a network attack detection method, a network attack detection device, network attack detection equipment and a medium, and the method comprises the steps: carrying out the dimension reduction of all high-dimensional network data in an original source domain data set and an original target domain data set, and obtaining a source domain data set and a target domain data set; training the initial source domain convolutional neural network according to low-dimensional network data in the source domain data set to obtain a source domain convolutional neural network; generating an initial target domain convolutional neural network according to the source domain convolutional neural network; according to the low-dimensional network data in the target domain data set, training the initial target domain convolutional neural network to obtain a target domain convolutional neural network, wherein the target domain convolutional neural network is used for detecting the net