Towards Open World Traffic Classification

Author:

Liu Zhu,Cai Lijun,Zhao Lixin,Yu Aimin,Meng Dan

Publisher

Springer International Publishing

Reference29 articles.

1. Auld, T., Moore, A.W., Gull, S.F.: Bayesian neural networks for internet traffic classification. IEEE Trans. Neural Networks 18(1), 223–239 (2007)

2. Bartos, K., Sofka, M., Franc, V.: Optimized invariant representation of network traffic for detecting unseen malware variants. In: 25th $$\{$$USENIX$$\}$$ Security Symposium ($$\{$$USENIX$$\}$$ Security 16), pp. 807–822 (2016)

3. Buczak, A.L., Guven, E.: A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Commun. Surv. Tutorials 18(2), 1153–1176 (2015)

4. Celik, Z.B., Walls, R.J., McDaniel, P., Swami, A.: Malware traffic detection using tamper resistant features. In: MILCOM 2015–2015 IEEE Military Communications Conference, pp. 330–335. IEEE (2015)

5. Chen, Y., Li, Z., Shi, J., Gou, G., Liu, C., Xiong, G.: Not afraid of the unseen: a siamese network based scheme for unknown traffic discovery. In: 2020 IEEE Symposium on Computers and Communications (ISCC), pp. 1–7. IEEE (2020)

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