Skype traffic detection and characterization

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor ;
dc.contributor.author Buonerba, Andrea
dc.date.accessioned 2011-12-08T09:33:39Z
dc.date.available 2011-12-08T09:33:39Z
dc.date.issued 2007
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/1017
dc.description.abstract Skype is a very popular VoIP software which has recently attracted the attention of the research community and network operators; furthermore Skype uses a proprietary signalling design and its source code is unavailable. This makes its analysis really important since the classification of IP flows becomes increasingly crucial in modern network management platforms. Traditional classification systems based on packet headers are rapidly becoming ineffective. In this work after a general analysis of Skype protocol and traffic in both time and frequency domain, a new classification method is presented. It is based on statical classification of the flow, using only three basic properties of IP packets: their size, interarrival time and order of arrival. The whole process is based on a new quantity called Protocol Fingerprint. Its aim is to express these quantities in an efficient way. An important part in the classification process is taken by a Gaussian filter that smooths the protocol fingerprints avoiding misclassifications caused by any kind of noise generated in the network. Even if this technique is at an early stage of development and requires more work, it is quite promising. en
dc.format.extent vii, 72
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Helsinki University of Technology en
dc.publisher Teknillinen korkeakoulu fi
dc.subject.other Electrical engineering en
dc.title Skype traffic detection and characterization en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.department Department of Electrical and Communications Engineering en
dc.contributor.department Sähkö- ja tietoliikennetekniikan osasto fi
dc.subject.keyword Skype en
dc.subject.keyword traffic en
dc.subject.keyword statistical classification en
dc.subject.keyword fingerprint en
dc.identifier.urn urn:nbn:fi:tkk-009990
dc.type.dcmitype text en
dc.programme.major Networking Technology en
dc.programme.major Tietoverkkotekniikka fi
dc.programme.mcode S-38
dc.type.ontasot Diplomityö fi
dc.type.ontasot Master's thesis en
dc.contributor.supervisor Virtamo, Jorma; Prof.
dc.programme Tietoliikennetekniikan tutkinto-ohjelma fi
dc.contributor.lab Networking Laboratory en
dc.contributor.lab Tietoverkkolaboratorio fi
dc.location P1 fi


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