nnDPI: A Novel Deep Packet Inspection Technique Using Word Embedding, Convolutional and Recurrent Neural Networks
暂无分享,去创建一个
[1] Ali A. Ghorbani,et al. Characterization of Encrypted and VPN Traffic using Time-related Features , 2016, ICISSP.
[2] M. Amaç Güvensan,et al. Application identification via network traffic classification , 2017, 2017 International Conference on Computing, Networking and Communications (ICNC).
[3] Antonio Pescapè,et al. Issues and future directions in traffic classification , 2012, IEEE Network.
[4] Baohua Yang,et al. Packet Classification Algorithms: From Theory to Practice , 2009, IEEE INFOCOM 2009.
[5] Mahdi Jafari Siavoshani,et al. Deep packet: a novel approach for encrypted traffic classification using deep learning , 2017, Soft Computing.
[6] Pavel Celeda,et al. A survey of methods for encrypted traffic classification and analysis , 2015, Int. J. Netw. Manag..
[7] Eduardo Rocha,et al. A Survey of Payload-Based Traffic Classification Approaches , 2014, IEEE Communications Surveys & Tutorials.
[8] Ming Zhu,et al. End-to-end encrypted traffic classification with one-dimensional convolution neural networks , 2017, 2017 IEEE International Conference on Intelligence and Security Informatics (ISI).
[9] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[10] Chencheng Ma,et al. Improved KNN Algorithm for Fine-Grained Classification of Encrypted Network Flow , 2020, Electronics.