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IMRG workshop on application classification and identification report
Full text PdfPdf (76 KB)
Source
ACM SIGCOMM Computer Communication Review archive
Volume 38 ,  Issue 3  (July 2008) table of contents
SESSION: Editorial zone table of contents
Pages 87-90  
Year of Publication: 2008
ISSN:0146-4833
Authors
Tim Strayer  BBN Technologies
Mark Allman  ICSI
Grenville Armitage  Swinburne University
Steve Bellovin  Columbia University
Shudong Jin  Case Western Reserve University
Andrew W. Moore  University of Cambridge
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 46,   Citation Count: 0
Additional Information:

references   index terms   collaborative colleagues  

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked 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.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.0 General


General Terms:
Documentation


Keywords:
application identification and characterization, workshop report

Collaborative Colleagues:
Tim Strayer: colleagues
Mark Allman: colleagues
Grenville Armitage: colleagues
Steve Bellovin: colleagues
Shudong Jin: colleagues
Andrew W. Moore: colleagues

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