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IMRG workshop on application classification and identification report

Published: 01 July 2008 Publication History
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References

[1]
Demetres Antoniades, Michalis Polychronakis, and Evangelos P. Markatos. Appmon: An Application for Accurate per Application IP Traffic Classification.
[2]
Mark Claypool, Robert Kinicki, and Craig Wills. Treatment-Based Traffic Signatures.
[3]
Richard Clayton. Spotting Spam in Sampled sFlow.
[4]
Kirk Jon Khu, Periklis Akritidis, Angelos Stavrou, and Kostas Anagnostakis. The Problem of Large-Scale Application Traffic Characterization--Can We Do Better?
[5]
Hyunchul Kim, Marina Fomenkov, kc claffy, Nevil Brownlee, Dhiman Barman, and Michalis Faloutsos. Comparison of Internet Traffic Classification Tools.
[6]
David Lapsley, Robert Walsh, and W. Timothy Strayer. Identifying Rogue/Nefarious Applications.

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  • (2013)Detection and classification of peer-to-peer trafficACM Computing Surveys10.1145/2480741.248074745:3(1-40)Online publication date: 3-Jul-2013

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      Published In

      cover image ACM SIGCOMM Computer Communication Review
      ACM SIGCOMM Computer Communication Review  Volume 38, Issue 3
      July 2008
      96 pages
      ISSN:0146-4833
      DOI:10.1145/1384609
      Issue’s Table of Contents

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 July 2008
      Published in SIGCOMM-CCR Volume 38, Issue 3

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      1. application identification and characterization
      2. workshop report

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      • (2013)Detection and classification of peer-to-peer trafficACM Computing Surveys10.1145/2480741.248074745:3(1-40)Online publication date: 3-Jul-2013

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