| 1 |
Mochalski K , Schulze H . Ipoque internet study 2008/2009. , http://www.ipoque.com/resources/internet-studies/internet-study-2008_2009, 2009
|
| 2 |
MacManus R . Trend watch: P2P traffic much bigger than Web traffic. , http://www.readwriteweb.com/archives/p2p_growth_ trend_watch.php, 2006
|
| 3 |
Sun X , Torres R , Rao S . Preventing DDoS attacks on internet servers exploiting P2P systems. Computer Networks, 2010,54(15): 2756～2774
|
| 4 |
Dainotti A , Pescapè A , Claffy K C . Issues and future directions in traffic classification. Network, IEEE, 2012,26(1): 35～40
|
| 5 |
Gong S F , Chen J . A P2P traffic detection method based on support vector machine. Applied Mechanics and Materials, 2012,198: 1280～1285
|
| 6 |
Erman J , Mahanti A , Arlitt M . Byte me: a case for byte accuracy in traffic classification. Proceedings of the 3rd Annual ACM Workshop on Mining Network Data, San Diego, California, USA, 2007: 35～38
|
| 7 |
Liu Q , Liu Z . A comparison of improving multi-class imbalance for internet traffic classification. Information Systems Frontiers, 2012(7): 1～13
|
| 8 |
Ling C , Li C . Data mining for direct marketing problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining（KDD-98）, New York, NY, 1998
|
| 9 |
Chawla N V , Bowyer K W , Hall L O , et al. SMOTE: synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 2002(16)
|
| 10 |
Wang R Y , Zhang L , Liu Z . Classifying imbalanced internet traffic based PCDD: a per concept drift detection method. Smart Computing Review, 2013(2)
|
| 11 |
Hall M A . Correlation-based Feature Selection for Machine Learning. The University of Waikato, The University of Waikato, 1999
|
| 12 |
Moore A W , Zuev D . Internet traffic classification using bayesian analysis techniques. ACM SIGMETRICS Performance Evaluation Review, 2013,33(1):50～60
|
| 13 |
Xu P , Lin S . Internet traffic classification using C4.5 decision tree. Journal of Software, 2009,20(10):2692～2704
|
| 14 |
Yuan R , Li Z , Guan X , et al. An SVM-based machine learning method for accurate internet traffic classification. Information Systems Frontiers, 2010, 12(2): 149～156
|
| 15 |
Sun R , Yang B , Peng L , et al. Traffic classification using probabilistic neural networks. Proceedings of Natural Computation （ICNC）, 2010 Sixth International Conference on IEEE, Valencia, Spain, 2010
|
| 16 |
Moore A W . Dataset. http://www.cl.cam.ac.uk/research/srg/netos/nprobe/data/papers/ sigmetrics/
|
| 17 |
Yu L , Liu H . Feature selection for high-dimensional data: a fast correlation-based filter solution. Proceedings of the Twentieth International Conference on Machine Learning （ICML 2003）, Piscataway, NJ, USA, 2003
|
