Title
On the validation of traffic classification algorithms
Abstract
Detailed knowledge of the traffic mixture is essential for network operators and administrators, as it is a key input for numerous network management activities. Traffic classification aims at identifying the traffic mixture in the network. Several different classification approaches can be found in the literature. However, the validation of these methods is weak and ad hoc, because neither a reliable and widely accepted validation technique nor reference packet traces with well-defined content are available. In this paper, a novel validation method is proposed for characterizing the accuracy and completeness of traffic classification algorithms. The main advantages of the new method are that it is based on realistic traffic mixtures, and it enables a highly automated and reliable validation of traffic classification. As a proof-of-concept, it is examined how a state-of-the-art traffic classification method performs for the most common application types.
Year
DOI
Venue
2008
10.1007/978-3-540-79232-1_8
PAM
Keywords
Field
DocType
validation technique,reliable validation,traffic classification,network operator,state-of-the-art traffic classification method,different classification approach,traffic classification algorithm,traffic mixture,novel validation method,realistic traffic mixture,network management,proof of concept
Traffic classification,Data mining,Computer science,Network packet,Algorithm,Operator (computer programming),Network management,Completeness (statistics)
Conference
Volume
ISSN
ISBN
4979
0302-9743
3-540-79231-7
Citations 
PageRank 
References 
41
2.42
10
Authors
4
Name
Order
Citations
PageRank
Géza Szabó1958.87
Dániel Orincsay2565.14
Szabolcs Malomsoky3514.43
IstváN Szabó4412.76