Adaptive Convolutional Neural Network Structure for Network Traffic Classification

Author:

Han Zhuang1,Guan Jianfeng1,Yao Yanan1,Yao Su2

Affiliation:

1. School of Computer Science, (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China

2. Beijing National Research Center for Information Science and Technology, Tsinghua University,Department of Computer Science and Technology,Beijing,China

Publisher

IEEE

Reference33 articles.

1. Characterization of Encrypted and VPN Traffic using Time-related Features

2. Batch normalization: Accelerating deep network training by reducing internal covariate shift[C];ioffe;Int Conference on Machine Learning,0

3. Understanding dropout[J];baldi;Advances in neural information processing systems,2013

4. Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Neural Decision Forest (DNDF): A Novel Approach for Enhancing Intrusion Detection Systems in Network Traffic Analysis;Sensors;2023-10-10

2. Adaptive Threshold for Unknown Traffic Identification;2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS);2022-11-26

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