DocumentCode
2494850
Title
Skype Traffic Identification
Author
Perényi, Marcell ; Gefferth, András ; Dang, Trang Dinh ; Molnár, Sándor
Author_Institution
Budapest Univ. of Technol. & Econ., Budapest
fYear
2007
fDate
26-30 Nov. 2007
Firstpage
399
Lastpage
404
Abstract
Skype uses strong encryption to secure communications inside the whole Skype network. Clients choose communication ports randomly. Therefore traditional port based or payload based identification of Skype traffic is not feasible. In this paper we introduce a novel flow dynamics based identification method to discover Skype host and voice calls as well. Our method uses only packet headers and the extracted flow level information. The whole identification process is scripted in Transact-SQL, thus it can be executed automatically. We also present the validation of the algorithm together with some analysis of the identification results.
Keywords
Internet telephony; peer-to-peer computing; telecommunication traffic; P2P VoIP network; Skype traffic identification; Transact-SQL; encryption; flow dynamics based identification method; packet headers; secure communications; Cryptography; Data mining; Economic forecasting; Informatics; Network servers; Payloads; Pricing; Relays; Telecommunication traffic; Tin;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-1042-2
Electronic_ISBN
978-1-4244-1043-9
Type
conf
DOI
10.1109/GLOCOM.2007.81
Filename
4410991
Link To Document