HTTP malicious traffic detection method based on hybrid structure deep neural network

HTTP malicious traffic detection method based on hybrid structure deep neural network

In response to the HTTP malicious traffic detection problem,a preprocessing method based on cutting mechanism and statistical association was proposed to perform statistical information correlation as well as normalization processing of traffic.Then,a hybrid neural network was proposed based on the...

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Bibliographic Details
Main Authors: Jia LI, Xiaochun YUN, Shuhao LI, Yongzheng ZHANG, Jiang XIE, Fang FANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2019-01-01
Series:Tongxin xuebao
Subjects:
abnormal detection
malicious traffic data
convolutional neural network
multilayer perceptron
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019019/
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