Internet traffic identification using machine learning

GLOBECOM - IEEE Global Telecommunications Conference

Volumn , Issue , 2006, Pages

  Erman, Jeffrey ^a   Mahanti, Anirban ^a   Arlitt, Martin ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CLUSTERING ALGORITHMS; INTERNET; TELECOMMUNICATION TRAFFIC;

EXPECTATION MAXIMIZATION (EM);

LEARNING SYSTEMS;

EID: 50949098638     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2006.443     Document Type: Conference Paper

References (20)

1. A. McGregor, M. Hall, P. Lorier, and J. Brunskill, "Flow Clustering Using Machine Learning Techniques," in PAM 2004, Antibes Juan-les-Pins, France, April 19-20, 2004.
2. A. Moore and D. Zuev, "Internet Traffic Classification Using Bayesian Analysis Techniques," in SIGMETRICS'05, Banff, Canada, June 6-10, 2005.
3. S. Zander, T. Nguyen, and G. Armitage, "Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics," in PAM 2005, Boston, USA, March 31-April 1, 2005.
4. _, "Automated Traffic Classification and Application Identification using Machine Learning," in LCN'05, Sydney, Australia, November 15-17, 2005.
5. A. Dempster, N. Paird, and D. Rubin, "Maximum likelihood from incomeplete data via the EM algorithm," Journal of the Royal Statistical Society, vol. 39, no. 1, pp. 1-38, 1977.
6. IANA. Internet Assigned Numbers Authority (IANA), "http://www.iana. org/assignments/port-numbers."
7. T. Karagiannis, A. Broido, M. Faloutsos, and K. claffy, "Transport Layer Identification of P2P Traffic," in IMC'04, Taormina, Italy, October 25-27, 2004.
8. P. Haffner, S. Sen, O. Spatscheck, and D. Wang, "ACAS: Automated Construction of Application Signatures," in SIGCOMM'05 Workshops, Philadelphia, USA, August 22-26, 2005.
9. A. Moore and K. Papagiannaki, "Toward the Accurate Identification of Network Applications," in PAM 2005, Boston, USA, March 31-April 1, 2005.
10. S. Sen, O. Spatscheck, and D. Wang, "Accurate, Scalable In-Network Identification of P2P Traffic Using Application Signatures," in WWW2005, New York, USA, May 17-22, 2004.
11. T. Karagiannis, K. Papagiannaki, and M. Faloutsos, "BLINK: Multilevel Traffic Classification in the Dark," in SIGCOMM'05, Philadelphia, USA, August 21-26, 2005.
12. P. Cheeseman and J. Strutz, "Bayesian Classification (AutoClass): Theory and Results." In Advances in Knowledge Discovery and Data Mining, AAI/MIT Press, USA, 1996.
13. M. Roughan, S. Sen, O. Spatscheck, and N. Duffield, "Class-of- Service Mapping for QoS: A Statistical Signature-based Approach to IP Traffic Classification," in IMC'04, Taormina, Italy, October 25-27, 2004.
14. I. Witten and E. Frank, (2005) Data Mining: Pratical Machine Learning Tools and Techniques, 2nd ed. San Francisco: Morgan Kaufmann, 2005.
15. A. Banerjee and J. Langford, "An Objective Evaluation of Criterion for Clustering," in KDD'04, Seattle, USA, August 22-25, 2004.
16. Auckland Data Sets, "http://www.wand.net.nz/wand/wits/auck/."
17. V. Paxson, "Empirically-Derived Analytic Models of Wide-Area TCP Connections," IEEE/ACM Transactions on Networking, vol. 2, no. 4, pp. 316-336, August 1998.
18. C. Colman, "What to do about P2P?" Network Computing Magazine, vol. 12, no. 6, 2003.
19. A. K. Jain and R. C. Dubes, Algorithms for Clustering Data. Englewood Cliffs, USA: Prentice Hall, 1988.
20. J. Erman, M. Arlitt, and A. Mahanti, "Traffic Classification using Clustering Algorithms," in SIGCOMM'06 MineNet Workshop, Pisa, Italy, September 2006.