User menu

GTVS: Boosting the Collection of Application Traffic Ground Truth

Bibliographic reference Canini, Marco ; Li, Wei ; Moore, Andrew W. ; Bolla, Raffaele. GTVS: Boosting the Collection of Application Traffic Ground Truth.TMA '09In: Proceedings of the First International Workshop on Traffic Monitoring and Analysis, 2009
Permanent URL
  1. Moore Andrew W., Papagiannaki Konstantina, Toward the Accurate Identification of Network Applications, Lecture Notes in Computer Science (2005) ISBN:9783540255208 p.41-54, 10.1007/978-3-540-31966-5_4
  2. Moore Andrew W., Zuev Denis, Internet traffic classification using bayesian analysis techniques, 10.1145/1064212.1064220
  3. Karagiannis Thomas, Papagiannaki Konstantina, Faloutsos Michalis, BLINC : multilevel traffic classification in the dark, 10.1145/1080091.1080119
  4. Erman Jeffrey, Arlitt Martin, Mahanti Anirban, Traffic classification using clustering algorithms, 10.1145/1162678.1162679
  5. Dusi M., Crotti M., Gringoli F., Salgarelli L., Tunnel Hunter: Detecting application-layer tunnels with statistical fingerprinting, 10.1016/j.comnet.2008.09.010
  6. Li W., Moore A. W., A Machine Learning Approach for Efficient Traffic Classification, 10.1109/mascots.2007.2
  7. Karagiannis, T., Broido, A., Faloutsos, M., Claffy, K.: Transport layer identification of P2P traffic. In: Proceedings of Internet Measurement Conference (2004)
  8. Trestian Ionut, Ranjan Supranamaya, Kuzmanovi Aleksandar, Nucci Antonio, Unconstrained endpoint profiling (googling the internet), 10.1145/1402958.1402991
  9. Dreger, H., et al.: Dynamic application-layer protocol analysis for network intrusion detection. In: 15th USENIX Security Symposium (2006)
  10. Szabó Géza, Orincsay Dániel, Malomsoky Szabolcs, Szabó István, On the Validation of Traffic Classification Algorithms, Lecture Notes in Computer Science ISBN:9783540792314 p.72-81, 10.1007/978-3-540-79232-1_8