A network traffic classification method based on random forest and improved convolutional neural network
In order to improve the efficiency and reduce the complexity of network traffic classification model, a classification method based on random forest and improved convolutional neural network was proposed.Firstly, the random forest was used to evaluate the importance of each feature of network traffi...
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Main Authors: | Bensheng YUN, Xiaoya GAN, Yaguan QIAN |
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Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2023-07-01
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Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023138/ |
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