Datasets (Google Drive)
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10 classes of mobile applications provided by the ACNS lab at the University of Dayton.
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15 classes of data extracted from the ISCXVPN2016 dataset. (https://www.unb.ca/cic/datasets/vpn.html)
Related Publications
- Jielun Zhang, Fuhao Li, and Feng Ye, “Sustaining the High Performance of AI-based Network Traffic Classification Models,” in IEEE/ACM Transactions on Networking, 2022.
- Fuhao Li and Feng Ye, “Adaptive and Lightweight Network Traffic Classification for Edge Devices,” in IEEE Transactions on Green Communications and Networking, doi: 10.1109/TGCN.2022.3165221.
- Jielun Zhang, Fuhao Li, Feng Ye, and Hongyu Wu, “Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update,” IEEE INFOCOM 2020.
- Jielun Zhang, Fuhao Li, and Feng Ye, “An Ensemble-based Network Intrusion Detection Scheme with Bayesian Deep Learning,” IEEE ICC 2020.
- Pan Wang, Shuhang Li, Feng Ye, Zixuan Wang, Moxuan Zhang, “PacketCGAN: Exploring Class Imbalance for Encrypted Traffic Classification Using CGAN,” IEEE ICC 2020.
- Jielun Zhang, Feng Ye, and Yi Qian “Intelligent and Application-aware Network Traffic Prediction in Smart Access Gateways”, IEEE Network, 2020.
- Pan Wang, Xuejiao Chen, Feng Ye and Zhixin Sun, “A Survey of Techniques for Mobile Service Encrypted Traffic Classification Using Deep Learning,” in IEEE Access, vol. 7, pp. 54024-54033, 2019.
- Jielun Zhang, Fuhao Li, Hongyu Wu and Feng Ye, “Autonomous Model Update Scheme for Deep Learning based Network Traffic Classifiers,” IEEE GLOBECOM 2019, Dec. 9-13, 2019, Waikoloa, HI.
- Daidong Ying and Feng Ye, “Learning Based and Adaptive CE Approach for Power Allocation in Massive MIMO-NOMA,” IEEE GLOBECOM 2019, Dec. 9-13, 2019, Waikoloa, HI.
- Pan Wang, Feng Ye, Xuejiao Chen, Yi Qian, “DataNet: Deep Learning based Encrypted Network Traffic Classification in SDN Home Gateway,” in IEEE Access, vol. 6, pp. 55380-55391, 2018 (https://github.com/runtrend08/Deep-Learning, kudos to Prof. Pan Wang)