DocumentCode :
3649325
Title :
Classifying service flows in the encrypted skype traffic
Author :
Maciej Korczyński;Andrzej Duda
Author_Institution :
Grenoble Institute of Technology, CNRS Grenoble Informatics Laboratory UMR 5217, Grenoble, France
fYear :
2012
fDate :
6/1/2012 12:00:00 AM
Firstpage :
1064
Lastpage :
1068
Abstract :
In this paper, we consider the problem of detecting Skype traffic and classifying Skype service flows such as voice calls, skypeOut, video conferencing, chat, file upload and download. We propose a classification method for Skype encrypted traffic based on the Statistical Protocol IDentification (SPID) that analyzes statistical values of some traffic attributes. We have evaluated our method on a representative dataset to show excellent performance in terms of Precision and Recall.
Keywords :
"Cryptography","Peer to peer computing","Protocols","Computational modeling","Fingerprint recognition","Analysis of variance"
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1938-1883
Type :
conf
DOI :
10.1109/ICC.2012.6364024
Filename :
6364024
Link To Document :
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