Title :
A Method of P2P Traffic Identification on Internet Based on the Deep Flow Inspection
Author :
Tianming Xia ; Ruiqi Song
Author_Institution :
Commun. & Inf. Eng. Coll., Shanghai Univ., Shanghai
Abstract :
Today, peer-to-peer service has become a very member of the network traffics. Thus, it broke the normal communication of the other important services through taking up their networkpsilas resource. This paper will put forward a method of P2P traffics identification on Internet based on the deep flow inspection through an analysis of the P2P protocols and models. This method can restrain the P2P bandwidth effectively. In the end, this paper will introduce an algorithm and also offer the analysis of the experimentpsilas result.
Keywords :
Internet; peer-to-peer computing; protocols; telecommunication security; telecommunication traffic; Internet; P2P traffic identification method; deep flow inspection; network traffic; peer-to-peer service; protocol; Bandwidth; Costs; Educational institutions; File servers; IP networks; Inspection; Protocols; Telecommunication traffic; Traffic control; Web and internet services; deep flow inspection (DFI); peer-to-peer (P2P); statistic; traffic identification;
Conference_Titel :
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3522-7
DOI :
10.1109/ICCSN.2009.123
