Title :
Research of P2P Traffic Comprehensive Identification Method
Author :
Zhenxiang, Liu ; Mingbo, He ; Song, Liu ; Xin, Wang
Author_Institution :
Coll. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China
Abstract :
P2P traffic has now occupied a lot of Internet bandwidth. To insure that the network runs normally, it is necessary to identify P2P traffic in the Internet and the traffic should be properly controlled. This paper gives a method to identify P2P traffic in the Internet based on Naïve Bayes classification technology. The method builds a P2P traffic recognizer combining load characteristic recognition and port recognition of Deep Packet Inspection. And its validity has been preliminarily verified.
Keywords :
Bayes methods; Internet; pattern classification; peer-to-peer computing; telecommunication traffic; Internet bandwidth; Naive Bayes classification; P2P traffic comprehensive identification method; P2P traffic recognizer; deep packet inspection; load characteristic recognition; port recognition; Business; Character recognition; Encryption; IP networks; Internet; Niobium; Training; Naive Bayes; Network Traffic; P2P;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.69
