Affiliation:
1. Beijing University of Posts and Telecommunications
2. National Computer Network Emergency Response Technical Team, Coordination Center of China
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Reference34 articles.
1. [1] T. Karagiannis, A. Broido, N. Brownlee, K.C. Claffy, and M. Faloutsos, “Is P2P dying or just hiding?,” IEEE GLOBECOM 2004, vol.3, pp.1532-1538, 2004.
2. [2] S. Sen, O. Spatscheck, and D. Wang, “Accurate, scalable in-network identification of p2p traffic using application signatures,” WWW 2004, pp.512-521, 2004.
3. [3] T.T.T. Nguyen and G. Armitage, “A survey of techniques for internet traffic classification using machine learning,” IEEE Communications Surveys & Tutorials, vol.10, no.4, pp.56-76, 2008.
4. [4] A.W. Moore and D. Zuev, “Internet traffic classification using bayesian analysis techniques,” ACM SIGMETRICS Performance Evaluation Review, vol.33, pp.50-60, 2005.
5. [5] J. Erman, A. Mahanti, and M. Arlitt, “Internet traffic identification using machine learning,” IEEE GLOBECOM 2006, pp.1-6, 2006.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献