TY - GEN
T1 - GTVS
T2 - 1st International Workshop on Traffic Monitoring and Analysis, TMA 2009
AU - Canini, Marco
AU - Li, Wei
AU - Moore, Andrew W.
AU - Bolla, Raffaele
N1 - Funding Information:
This work was supported by the Engineering and Physical Sciences Research Council through grant GR/T10510/02 http://www.cl.cam.ac.uk/research/srg/netos/brasil/
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=67650302604&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01645-5_7
DO - 10.1007/978-3-642-01645-5_7
M3 - Conference contribution
AN - SCOPUS:67650302604
SN - 9783642016448
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 54
EP - 63
BT - Traffic Monitoring and Analysis - First International Workshop, TMA 2009, Proceedings
Y2 - 11 May 2009 through 11 May 2009
ER -