Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks

Proceedings - Conference on Local Computer Networks, LCN

Volumn , Issue , 2006, Pages 369-376

  Nguyen, Thuy T T ^a   Armitage, Grenville ^a  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; INTERNET; INTERNET PROTOCOLS; LEARNING ALGORITHMS; LEARNING SYSTEMS; ROBOT LEARNING;

ARBITRARY POINTS; CLASSIFICATION DECISION; EXCELLENT PERFORMANCE; IP NETWORKS; IP TRAFFIC; LOCAL COMPUTER; MACHINE-LEARNING; ML ALGORITHMS; OPTIMISATION; REAL WORLD; REAL WORLD SCENARIOS; SUBFLOWS; TARGET APPLICATION;

COMPUTER NETWORKS;

EID: 46149109490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LCN.2006.322122     Document Type: Conference Paper

References (26)

1. L.Stewart, G.Armitage, P.Branch, S.Zander, "An Architecture for Automated Network Control of QoS over Consumer Broadband Links," IEEE TENCON 05 Melbourne, Australia, 21 -24 November, 2005.
2. Thomas Karagiannis, Andre Broido, Nevil Brownlee, kc claffy, "Is P2P dying or just hiding?", Proceedings of Globecom 2004, November/December 2004
3. F. Baker, B. Foster, C. Sharp, "Cisco Architecture for Lawful Intercept in IP Networks," Internet Engineering Task Force, RFC 3924, October 2004
4. "Snort - the de facto standard for intrusion detection/prevention, " http://www.snort.org (accessed April 21, 2006)
5. "Bro Intrusion Detection System - Bro Overview," http://broids.org (accessed April 21, 2006)
6. V. Paxson, Bro: A System for Detecting Network Intruders in Real-Time, Computer Networks, 31(23-24), pp. 2435-2463, 14 Dec. 1999
7. S. Sen, O. Spatscheck, D. Wang, "Accurate, Scalable In-Network Identification of P2P Traffic Using Application Signatures", WWW 2004, New York, USA, May 2004
8. A. McGregor, M. Hall, P. Lorier, J. Brunskill, "Flow Clustering Using Machine Learning Techniques", Passive & Active Measurement Workshop 2004 (PAM 2004), France, April 19-20, 2004
9. Denis Zuev, Andrew Moore, "Internet traffic classification using bayesian analysis techniques", ACM SIGMETRICS 2005, Banff, Canada, June, 2005
10. S. Zander, T.T.T. Nguyen, G. Armitage, "Automated Traffic Classification and Application Identification using Machine Learning", Proceedings of IEEE 30th Conference on Local Computer Networks (LCN 2005), Sydney, Australia, 15-17 November 2005
11. S. Zander, N. Williams, G. Armitage, "Internet Archeology: Estimating Individual Application Trends in Incomplete Historic Traffic Traces", Passive and Active Measurement Workshop (PAM 2006), Adelaide, Australia, March 30-31, 2006
12. "Wolfenstein," http://games.activision.com/games/wolfenstein (viewed 19 December 2005)
13. M. Roughan, S. Sen, O. Spatcheck, and N.Duffield, Class-ofService Mapping for QoS: A Statistical Signature-based Approach to IP Traffic Classification. In ACM/SIGCOMM IMC, November 2004.
14. N.Williams, S.Zander, G.Armitage, "Evaluating Machine Learning Methods for Online Game Traffic Identification," CAIA Technical Report 060410C, April 2006
15. John, G., & Langley, P. (1995). Estimating continuous distributions in Bayesian classifiers. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (pp. 338-345).
16. I. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann Publishers, 2000.
17. WEKA 3.4.4, http://www.cs.waikato.ac.nz/ml/weka/ (as of February 2006).
18. th April 2006
19. th March 2006
20. J. Bussiere, S. Zander, "Enemy Territory Traffic Analysis," (pdf) CAIA Technical Report 060203A, February 2006
21. S. Zander, D. Kennedy, G. Armitage "Dissecting Server-Discovery Traffic Patterns Generated By Multiplayer First Person Shooter Games," ACM NetGames 2005, Hawthorne NY, USA, 10-11 October, 2005
22. G.Armitage, M.Claypool, P.Branch, "Networking and Online Games - Undertanding and Engineering Multiplayer Internet Games," John Wiley & Sons, UK, April 2006 (ISBN: 0470018577)
23. NetMate, http://sourceforge.net/projects/netmate-meter/ (As of October 2005).
24. L.Bernaille, R. Teixeira, I. Akodkenou, A. Soule and K. Salamatian, "Traffic Classification On The Fly", ACM SIGCOMM Computer Communication Review, Vol. 36, No. 2, April 2006.
25. T. Karagiannis, K. Papagiannaki, M. Faloutsos, BLINC: Multilevel Traffic Classification in the Dark, SIGCOMM'05, Aug. 2005
26. A. Dempster, N. Laird, D. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm, Journal of Royal Statistical Society, Series B, Vol. 30, No. 1, 1977.