Skype-Hunter: A real-time system for the detection and classification of Skype traffic

International Journal of Communication Systems

Volumn 25, Issue 3, 2012, Pages 386-403

  Adami, Davide ^a   Callegari, Christian ^a   Giordano, Stefano ^a   Pagano, Michele ^a   Pepe, Teresa ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

real time classification; Skype; traffic analysis; traffic classification

Indexed keywords

DATA TRAFFIC; EASE OF USE; EXPERIMENTAL TEST; FILE TRANSFERS; NETWORK SCENARIO; PREVIOUS YEAR; QUALITY OF SOUNDS; REAL TIME ALGORITHMS; SIGNALING TRAFFIC; SKYPE; TRAFFIC ANALYSIS; TRAFFIC CLASSIFICATION; TRAFFIC CLASSIFIERS; TRAFFIC DATA;

ALGORITHMS; INTERNET TELEPHONY; REAL TIME SYSTEMS;

TELECOMMUNICATION TRAFFIC;

EID: 84857641749     PISSN: 10745351     EISSN: 10991131     Source Type: Journal    
DOI: 10.1002/dac.1247     Document Type: Article

References (19)

1. Skype web site. Available from: [10 April 2009 ].
2. Telegeography web site. Available from: [10 April 2009 ].
3. Skype by the numbers web site. Available from: [10 April 2009 ].
4. Skype users online now web site. Available from: [10 April 2009 ].
5. Baset SA, Schulzrinne HG,. An analysis of the Skype peer-to-peer internet telephony protocol. INFOCOM' 06: Proceedings of the 25th IEEE International Conference on Computer Communications, 2006; 1-11. Available from: http://dx.doi.org/10.1109/INFOCOM.2006.312.
6. Adami D, Callegari C, Giordano S, Pagano M, Pepe T,. A Real-Time Algorithm for Skype traffic detection and classification. Proceedings of NEW2AN, St. Petersburg, Russia, 2009.
7. Bonfiglio D, Mellia M, Meo M, Rossi D, Tofanelli P,. Revealing Skype traffic: when randomness plays with you. SIGCOMM Computer Communication Review 2007; 37 (4): 37-48. Available from:. (Pubitemid 350239771)
8. Suh K, Figueiredo DR, Kurose J, Towsley D,. Characterizing and detecting Skype-relayed traffic. Proceedings of IEEE INFOCOM, Barcelona, Spain, 2006.
9. Lu L, Horton J, Safavi-Naini R, Susilo W,. Transport layer identification of Skype traffic. Proceedings of ICOIN, Estoril, Portugal, 2007.
10. Svoboda P, Hyyti Å.E, Ricciato F, Rupp M, Karner M,. Detection and tracking of Skype by exploiting cross layer information in a live 3G network. Proceedings of TMA, Aachen, Germany, 2009.
11. Guha S, Daswani N, Jain R,. An experimental study of the Skype peer-to-peer voip system. IPTPS'06: The Fifth International Workshop on Peer-to-Peer Systems, Microsoft Research, 2006. Available from:.
12. Rossi D, Mellia M, Meo M,. Understanding Skype signalling. Computer Networks 2009; 53 (2): 130-140. Available from:.
13. How Skype & co. get round firewalls web site. Available from: [10 April 2009 ].
14. Rosenberg J, Weinberger J, Huitema R,. STUN simple traversal of user datagram protocol (udp) through network address translators (nats). RFC 3489, RFC Editor, U.S.A., 2003.
15. Mahy R, Matthews P, Rosenberg J,. Traversal using relays around NAT (TURN): relay extensions to session traversal utilities for NAT (STUN). RFC 5766, RFC Editor, U.S.A., 2010.
16. Ideval project web site. Available from: [10 April 2009 ].
17. Tstat project data-set. Available from: [10 April 2009 ].
18. Duda RO, Hart PE, Stork DG,. Pattern Classification. Wiley: New York, 2000.
19. Tstat tcp statistic and analysis tool web site. Available from: [10 April 2009 ].