Abnormal traffic detection method based on LSTM and improved residual neural network optimization

Abnormal traffic detection method based on LSTM and improved residual neural network optimization

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Problems such as a difficulty in feature selection and poor generalization ability were prone to occur when traditional method was exploited to detect abnormal network traffic.Therefore, an abnormal traffic detection method based on the long short term memory network (LSTM) and improved residual neu...

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Bibliographic Details
Main Authors: Wengang MA, Yadong ZHANG, Jin GUO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-05-01
Series:Tongxin xuebao
Subjects:
abnormal traffic detection
LSTM
data pooling layer
dilated convolution
improved residual neural network
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021109/

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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021109/

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