Publisher
Springer Nature Switzerland
Reference23 articles.
1. Rezaei, S., Liu, X.: Deep learning for encrypted traffic classification: an overview. IEEE Commun. Mag. 57, 76–81 (2018)
2. Šmít, D., Millar, K., Page, C., Cheng, A., Chew, H., Lim, C.: Looking deeper: using deep learning to identify internet communications traffic (2017)
3. Lim, H., Kim, J., Heo, J., Kim, K., Hong, Y., Han, Y.: Packet-based network traffic classification using deep learning. In: International Conference on Artificial Intelligence in Information and Communication 2019, ICAIIC, Okinawa, Japan, pp. 46–51 (2019). https://doi.org/10.1109/ICAIIC.2019.8669045
4. Lopez-Martin, M., Carro, B., Sánchez-Esguevillas, A.J., Lloret, J.: Network traffic classifier with convolutional and recurrent neural networks for internet of things. IEEE Access 5, 18042–18050 (2017)
5. Wang, W., Zhu, M., Wang, J., Zeng, X., Yang, Z.: End-to-end encrypted traffic classification with one-dimensional convolution neural networks. In: IEEE International Conference on Intelligence and Security Informatics 2017, ISI, Beijing, China, pp. 43–48 (2017). https://doi.org/10.1109/ISI.2017.8004872