As part of a broader organisational restructure, data networking research at Swinburne University of Technology has moved from the Centre for Advanced Internet Architecture (CAIA) to the Internet For Things (I4T) Research Lab.

Although CAIA no longer exists, this website reflects CAIA's activities and outputs between March 2002 and February 2017, and is being maintained as a service to the broader data networking research community.

DIFFUSE - Related Papers and Interim Reports

By members of CAIA

Journal and Conference Papers

Tech Reports and Talks

By the wider community

Machine Learning for Traffic Classification

  • X. Tian, Q. Sun, X. Huang, Y. Ma, "A Dynamic Online Traffic Classification Methodology Based on Data Stream Mining", World Congress on Computer Science and Information Engineering, 2009.
  • M. Pietrzyk, G. Urvoy-Keller, J.-L. Costeux, "Revealing the Unknown ADSL Traffic Using Statistical Methods", COST TMA Workshop, 2009.
  • X. Tian, Q. Sun, X. Huang, Y. Ma, "Dynamic Online Traffic Classification Using Data Stream Mining", International Conference on Multimedia and Information Technology, Washington, DC, USA, December 2008.
  • Z. Guangxing, X. Gaogang, Y. Jianhua, "Accurate Online Traffic Classification with Multi-phases Identification Methodology", IEEE Consumer Communications & Networking Conference (CCNC), January 2008.
  • D. Bonfiglio, M. Mellia, M. Meo, D. Rossi, P. Tofanelli, "Revealing Skype traffic: when randomness plays with you", Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM), New York, NY, USA, August 2007.
  • J. Erman, A. Mahanti, M. Arlitt, "Byte me: a case for byte accuracy in traffic classification", 3rd Annual ACM Workshop on Mining Network Data (MineNet), New York, NY, USA, June 2007.
  • J. Erman, A. Mahanti, M. Arlitt, C. Williamson, "Identifying and discriminating between web and peer-to-peer traffic in the network core", 16th International Conference on World Wide Web, Banff, Alberta, Canada, May 2007.
  • J. Erman, A. Mahanti, M. Arlitt, I. Cohen, C. Williamson, "Semi-supervised network traffic classification", ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) Performance Evaluation Review, vol. 35, no. 1, pp. 369–370, 2007.
  • T. Auld, A. W. Moore, S. F. Gull, "Bayesian neural networks for Internet traffic classification", IEEE Transactions Neural Networks, no. 1, pp. 223–239, January 2007.
  • M. Crotti, M. Dusi, F. Gringoli, L. Salgarelli, "Traffic classification through simple statistical fingerprinting", SIGCOMM Computer Communication Review, vol. 37, no. 1, pp. 5–16, 2007.
  • L. Bernaille, R. Teixeira, K. Salamatian, "Early Application Identification", 2nd ADETTI/ISCTE CoNEXT Conference, Lisboa, Portugal, December 2006.
  • J. Park, H.-R. Tyan, K. C.-C.J., "GA-Based Internet Traffic Classification Technique for QoS Provisioning", International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Pasadena, California, December 2006.
  • J. Erman, A. Mahanti, and M. Arlitt, "Internet traffic identification using machine learning techniques", 49th IEEE Global Telecommunications Conference (GLOBECOM), San Francisco, USA, December 2006.
  • J. Erman, M. Arlitt, A. Mahanti, "Traffic classification using clustering algorithms", SIGCOMM Workshop on Mining Network Data (MineNet), New York, NY, USA, 2006.
  • C. Livadas, R. Walsh, D. Lapsley, "Using Machine Learning Techniques to Identify Botnet Traffic", IEEE Conference on Local Computer Networks (LCN), November 2006.
  • W. Rui, L. Yang, Y. Yuexiang, Z. Xiaoyong, "Solving the App-Level Classification Problem of P2P Traffic Via Optimized Support Vector Machines", International Conference on Intelligent Systems Design and Applications (ISDA), October 2006.
  • J. Ma, K. Levchenko, C. Kreibich, S. Savage, G. Voelker, "Unexpected means of protocol inference", 6th ACM SIGCOMM Conference on Internet Measurement, Rio de Janeriro, Brazil, October 2006.
  • J. Park, H.-R. Tyan, K. C.-C.J., "Internet traffic classification for scalable QoS provision", IEEE International Conference on Multimedia and Expo, Toronto, Ontario, Canada, July 2006.
  • L. Bernaille, R. Teuxeira, I. Akodkenou, A. Soule, K. Salamatian, "Traffic Classification on the Fly", ACM SIGCOMM Computer Communication Review, vol. 36, no. 2, April 2006.
  • M. Barreno, B. Nelson, R. Sears, A. D. Joseph, J. D. Tygar, "Can machine learning be secure?", ACM Symposium on Information, Computer and Communications Security (ASIACCS),  Taipei, Taiwan, March 2006.
  • P. Haffner, S. Sen, O. Spatscheck, D. Wang, "ACAS: automated construction of application signatures", ACM SIGCOMM workshop on Mining Network Data (MineNet), Philadelphia, Pennsylvania, USA, August 2005.
  • T. Karagiannis, K. Papagiannaki, and M. Faloutsos, "BLINC: Multilevel Traffic Classification in the Dark", ACM Sigcomm 2005, Philadelphia, PA, USA, August 2005.
  • Denis Zuev, Andrew Moore, "Internet traffic classification using bayesian analysis techniques", ACM SIGMETRICS 2005, Banff, Canada, June, 2005.
  • Denis Zuev, Andrew Moore, "Traffic Classification using a Statistical Approach", Passive & Active Measurement Workshop, Boston, U.S.A, April 2005.
  • A. Moore, and K. Papagiannaki, "Toward the Accurate Identification of Network Applications", Passive & Active Measurement Workshop, Boston, U.S.A., April, 2005.
  • M. Roughan, S. Sen, O. Spatscheck, N. Duffield, "Class-of-Service Mapping for QoS: A statistical signature-based approach to IP traffic classification", ACM SIGCOMM Internet Measurement Workshop 2004, Taormina, Sicily, Italy, 2004.
  • 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.
  • James P. Early, Carla E. Brodley, and Catherine Rosenburg, "Behavioral Authentication of Server Flows", Proceedings of the 19th Annual Computer Security Applications Conference, Las Vegas, NV, USA, December 2003.
  • A. Soule, K. Salamatian, N. Taft, R. Emilion, K. Papagiannaki, "Flow Classification by Histograms or How to Go on Safari in the Internet", In ACM Sigmetrics, New York, U.S.A., June, 2004.
  • T. Dunnigan, G. Ostrouchov, "Flow Characterization for Intrusion Detection", Oak Ridge National Laboratory, Technical Report, November 2000.

Machine Learning Techniques and Algorithms

  • Ian H. Witten, Eibe Frank,  "Data Mining: Practical Machine Learning Tools and Techniques (Second Edition)", Morgan Kaufmann, June 2005.
  • Tom M. Mitchell, “Machine Learning”, McGraw-Hill Education (ISE Editions), December 1997.
  • Tom M. Mitchell, “Does Machine Learning Really Work?”, AI Magazine 18(3), pp. 11-20, 1997.
  • T. G. Dietterich, “Machine-Learning Research – Four Current Directions”, American Association for Artificial Intelligence, 1997.


Last Updated: Thursday 30-Aug-2012 15:10:09 AEST | Maintained by: Sebastian Zander ( | Authorised by: Grenville Armitage (