GTVS: Boosting the collection of application traffic ground truth

Marco Canini*, Wei Li, Andrew W. Moore, Raffaele Bolla

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Scopus citations


Interesting research in the areas of traffic classification, network monitoring, and application-oriented analysis can not proceed without real traffic traces, labeled with actual application information. However, hand-labeled traces are an extremely valuable but scarce resource in the traffic monitoring and analysis community, as a result of both privacy concerns and technical difficulties. Hardly any possibility exists for payloaded data to be released, while the impossibility of obtaining certain ground-truth application information from non-payloaded data has severely constrained the value of anonymized public traces. The usual way to obtain the ground truth is fragile, inefficient and not directly comparable from one,s work to another. This paper proposes a methodology and details the design of a technical framework that significantly boosts the efficiency in compiling the application traffic ground truth. Further, a case study on a 30 minute real data trace is presented. In contrast with past work, this is an easy hands-on tool suite dedicated to save user,s time and labor and is freely available to the public.

Original languageEnglish (US)
Title of host publicationTraffic Monitoring and Analysis - First International Workshop, TMA 2009, Proceedings
Number of pages10
StatePublished - 2009
Externally publishedYes
Event1st International Workshop on Traffic Monitoring and Analysis, TMA 2009 - Aachen, Germany
Duration: May 11 2009May 11 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5537 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st International Workshop on Traffic Monitoring and Analysis, TMA 2009

Bibliographical note

Funding Information:
This work was supported by the Engineering and Physical Sciences Research Council through grant GR/T10510/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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