Malicious Network Traffic Recognition Method Based on Deep Learning
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[1] Xin Liu,et al. Deep Learning for Encrypted Traffic Classification: An Overview , 2018, IEEE Communications Magazine.
[2] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Sami Souihi,et al. A Novel QUIC Traffic Classifier Based on Convolutional Neural Networks , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).
[4] Ali A. Ghorbani,et al. Toward developing a systematic approach to generate benchmark datasets for intrusion detection , 2012, Comput. Secur..
[5] Antonio Pescapè,et al. Mobile Encrypted Traffic Classification Using Deep Learning , 2018, 2018 Network Traffic Measurement and Analysis Conference (TMA).
[6] Mahdi Jafari Siavoshani,et al. Deep packet: a novel approach for encrypted traffic classification using deep learning , 2017, Soft Computing.
[7] Rui Li,et al. Byte Segment Neural Network for Network Traffic Classification , 2018, 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS).