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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615340