Analysis and efficient classification of P2P file sharing traffic

Zink, Thomas; Waldvogel, Marcel

Analysis and efficient classification of P2P file sharing traffic

Dateien

picdfi.tgzGröße: 49.16 KBDownloads: 15

Zink.pdfGröße: 1.25 MBDownloads: 979

Datum

2010

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Sonstiges, textgebunden (z.B. Gutachten, Blogbeiträge)

Publikationsstatus

Published

Zusammenfassung

Since the advent of P2P networks they have grown to be the biggest source of internet traffic, superseding HTTP and FTP. For service providers P2P traffic results in increased costs for both infrastructure and transportation. Interest is high to reliably identify the type of service to ensure quality of service. In this document we analyze P2P network architectures and give an overview of existing identification mechanisms. In addition we devise a simple identification scheme suitable for implementation in resources restricted environments with limited computational power and memory. The scheme is based on behavior analysis and as such is not prone to traffic obfuscation techniques.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

P2P, traffic identification, router functions, file sharing

Zitieren

ISO 690

ZINK, Thomas, Marcel WALDVOGEL, 2010. Analysis and efficient classification of P2P file sharing traffic

BibTex

@misc{Zink2010Analy-18870,
  year={2010},
  title={Analysis and efficient classification of P2P file sharing traffic},
  author={Zink, Thomas and Waldvogel, Marcel}
}

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Universitätsbibliographie

Ja