demonstration

Pictures from the Skype

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Michela MeoAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 36, Issue 2

Pages 83 - 86

https://doi.org/10.1145/1453175.1453191

Published: 31 August 2008 Publication History

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Abstract

This paper focuses on the characterization and classification of Skype traffic, a nowadays very popular and fashionable VoIP application. Building over previous work, we develop a software tool which can be used to examine the evolution of Skype call classification in an interactive fashion. The demonstrator software focuses on the main aspects of Skype traffic characterization and presents the traffic patterns Skype generates during a call or while idle. In addition, the demonstrator shows the evolution of the internal indexes the Skype classifiers use.

After describing the classification process and the demonstrator software, we use the tool to demonstrate the feasibility of online Skype traffic identification, considering both accuracy and computational costs. Experimental results show that few seconds of observation are enough to allow the classifier engines to correctly identify the presence of Skype flows. Moreover, results indicate that the classification engine can cope with multi-Gbps links in real-time using common off-the-shelf hardware.

References

[1]

D. Bonfiglio, M. Mellia, M. Meo, D. Rossi and P. Tofanelli, "Revealing Skype Traffic: When Randomness Plays with You," ACM SIGCOMM'07, Kyoto, Japan, Aug. 2007

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[2]

P. Biondi, F. Desclaux, "Silver Needle in the Skype." Black Hat Europe'06, Amsterdam, the Netherlands, Mar. 2006.

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[3]

M.Mellia, R.Lo Cigno, F.Neri, "Measuring IP and TCP behavior on edge nodes with Tstat", Computer Networks, Vol. 47, No. 1, pp. 1--21, Jan 2005

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[4]

TSTAT website, http://tstat.tlc.polito.it/

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[5]

Skype demo, http://www.enst.fr/¿drossi/SkypeDemo

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[6]

D. Bonfiglio, M. Mellia, M. Meo, N. Ritacca and D. Rossi, "Tracking Down Skype Traffic," In Proc. of IEEE INFOCOM'08, Phoenix, USA, Apr. 2008

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[7]

D. Rossi and M. Mellia, "Real-Time TCP/IP Analysis with Common Hardware," In Proc. of IEEE ICC'06, Istanbul, Turkey, Jun. 2006

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Cited By

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Chaddad LChehab AElhajj IKayssi A(2019)AdaptiveMutate: A technique for privacy preservationDigital Communications and Networks10.1016/j.dcan.2019.09.002Online publication date: Sep-2019
https://doi.org/10.1016/j.dcan.2019.09.002
Jiang QHu HHu G(2016)Real-Time Identification of Users under the New Structure of Skype2016 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)10.1109/SECONW.2016.7746809(1-6)Online publication date: Jun-2016
https://doi.org/10.1109/SECONW.2016.7746809
Li JLi ZLiu YZhang Z(2015)Do Twin Clouds Make Smoothness for Transoceanic Video Telephony?Proceedings of the 2015 44th International Conference on Parallel Processing (ICPP)10.1109/ICPP.2015.35(260-269)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1109/ICPP.2015.35
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Index Terms

Pictures from the Skype
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
    2. Metrics
2. Networks
  1. Network properties
    1. Network range
      1. Local area networks
      2. Wide area networks

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Information

Published In

cover image ACM SIGMETRICS Performance Evaluation Review

ACM SIGMETRICS Performance Evaluation Review Volume 36, Issue 2

September 2008

138 pages

ISSN:0163-5999

DOI:10.1145/1453175

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 August 2008

Published in SIGMETRICS Volume 36, Issue 2

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Cited By

View all

Chaddad LChehab AElhajj IKayssi A(2019)AdaptiveMutate: A technique for privacy preservationDigital Communications and Networks10.1016/j.dcan.2019.09.002Online publication date: Sep-2019
https://doi.org/10.1016/j.dcan.2019.09.002
Jiang QHu HHu G(2016)Real-Time Identification of Users under the New Structure of Skype2016 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)10.1109/SECONW.2016.7746809(1-6)Online publication date: Jun-2016
https://doi.org/10.1109/SECONW.2016.7746809
Li JLi ZLiu YZhang Z(2015)Do Twin Clouds Make Smoothness for Transoceanic Video Telephony?Proceedings of the 2015 44th International Conference on Parallel Processing (ICPP)10.1109/ICPP.2015.35(260-269)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1109/ICPP.2015.35
Petkov VRajagopal RObraczka K(2013)Characterizing per-application network traffic using entropyACM Transactions on Modeling and Computer Simulation10.1145/2457459.245746323:2(1-25)Online publication date: 10-May-2013
https://dl.acm.org/doi/10.1145/2457459.2457463
Santiago del Rio PRossi DGringoli FNava LSalgarelli LAracil JByers JKurose JMahajan RSnoeren A(2012)Wire-speed statistical classification of network traffic on commodity hardwareProceedings of the 2012 Internet Measurement Conference10.1145/2398776.2398784(65-72)Online publication date: 14-Nov-2012
https://dl.acm.org/doi/10.1145/2398776.2398784
Petkov VRajagopal RObraczka K(2011)Characterizing Per-Application Network Traffic Using EntropyProceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems10.1109/MASCOTS.2011.65(179-187)Online publication date: 25-Jul-2011
https://dl.acm.org/doi/10.1109/MASCOTS.2011.65
Finamore AMellia MMeo MMunafò MRossi D(2010)Live traffic monitoring with tstatProceedings of the 8th international conference on Wired/Wireless Internet Communications10.1007/978-3-642-13315-2_24(290-301)Online publication date: 1-Jun-2010
https://dl.acm.org/doi/10.1007/978-3-642-13315-2_24
Svoboda PHyytiä ERicciato FRupp MKarner M(2009)Detection and Tracking of Skype by Exploiting Cross Layer Information in a Live 3G NetworkProceedings of the First International Workshop on Traffic Monitoring and Analysis10.1007/978-3-642-01645-5_11(93-100)Online publication date: 11-May-2009
https://dl.acm.org/doi/10.1007/978-3-642-01645-5_11
Svoboda P(2009)Traffic FlowsVideo and Multimedia Transmissions over Cellular Networks10.1002/9780470747773.ch13(313-331)Online publication date: 7-Oct-2009
https://doi.org/10.1002/9780470747773.ch13

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