DocumentCode
3275909
Title
A method of identifying P2P live streaming based on union features
Author
Kai Yang ; Binqiang Wang ; Zhen Zhang
Author_Institution
Nat. Digital Switching Syst. Eng.& Technol. R&D Center, Zhengzhou, China
fYear
2013
fDate
23-25 May 2013
Firstpage
426
Lastpage
429
Abstract
P2P live is one of the rapidly developing Internet applications. It´s the key step of network management identifying P2P live streaming accurately and on time. There is less paper focusing on identifying P2P live streaming. This paper analyzes the behavioral characteristics of P2P live streaming and proposes a identification method based on node connectivity or BM packet. Then it combines two flow characteristics for identification of P2P live streaming. The experiment shows that the recognition method based on the union features can accurately and quickly identify P2P live streaming.
Keywords
Internet; computer network management; feature extraction; media streaming; peer-to-peer computing; BM packet; Internet; P2P live streaming identification; network management; node connectivity; recognition method; union feature; Artificial neural networks; Focusing; BM packet; P2P live; component; connectivity; union feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4673-4997-0
Type
conf
DOI
10.1109/ICSESS.2013.6615340
Filename
6615340
Link To Document