Classifying peer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream

Author:

Zhong Weicai,Raahemi Bijan,Liu Jing

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference33 articles.

1. Azzouna NB, Guillemin F (2004) Impact of peer-to-peer applications on wide area network traffic: An experimental approach. IEEE Glob Telecommun Conf 3:1544–1548

2. Kamei S, Kimura T (2003) Practicable network design for handling growth in the volume of peer-to-peer traffic. IEEE Pacific Rim Conf Commun, Comput Signal Process 2:597–600

3. Zander S, Nguyen T, Armitage G (2005) Self-learning IP traffic classification based on statistical flow characteristics. Springer-Verlag Lecture Notes in Computer Science, Vol. 3431, Springer, Berlin, pp 325–328

4. Zuev D, Moore AW (2005) Traffic classification using a statistical approach. Springer-Verlag Lecture Notes in Computer Science, Vol. 3431, Springer Berlin, pp 321–324

5. Raahemi B, Hayajneh A, Rabinovitch P (2007) Classification of peer-to-peer traffic using neural networks. Proceedings of Artificial Intelligence and Pattern Recognition, Orlando, USA, July 2007, pp 411–417

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