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Impact and Analysis of Internet Service using random port

Over the last few years, peer-to-peer (P2P) applications have relentlessly grown
to represent a formidable component of Internet traffic. In contract to P2P networks
witch used well-defined port number, current P2P applications have use of arbitrary
ports. As P2P applications continue to evolve, robust and effective methods are
methods are needed for P2P traffic identification. Many P2P applications are
bandwidth-intensive. Understanding the Internet traffic profile is important for several
reasons, including traffic engineering, network service pricing.
In this Thesis, we integrated port-based method into original Classifier which is
using content-based method only. Therefore, we can improve the recognition rate for
Classifier and identify more applications. We also verified our Classifier recognition
rate by using the results of Service Control Engine.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0212108-165100
Date12 February 2008
CreatorsHsu, Yu-San
ContributorsCe-Kuen Shieh, Chu-Sing Yang, Chungnan Lee, Mon-Yen Luo, Chun-Hung Lin
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0212108-165100
Rightswithheld, Copyright information available at source archive

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