Title
Maximum entropy based IP-traffic classification in mobile communication networks
Abstract
In order to maintain sufficient mobile communication network capacity for value added services, 3GPP has recently introduced an architecture called ”SIPTO”(Selected IP Traffic Offload) to offload selected mobile IP traffic from the core network. This brings new challenge to on line traffic classification scheme needed to figure out the traffic which should be offloaded in real time. Although traffic classification methodologies have already been investigated in wired IP network, they are not applicable in mobile environment where high bit error rates (BER) and temporary disconnections are observed due to hostile wireless channel conditions. This paper proposes a maximum entropy based IP-traffic classification scheme (METCS) to address on line traffic classification problems in mobile communication networks. METCS extracts the application layer payload pattern using randomly arrived packets instead of the first few sequential packets of an application flow. Simulation results show that METCS outperforms existing methods by offering average 5%-8% improvement in classification accuracy with about 60% time.
Year
DOI
Venue
2012
10.1109/WCNC.2012.6214146
WCNC
Keywords
Field
DocType
ip networks,mobile communication,sipto,line traffic classification scheme,bit error rates,selected ip traffic offload,application layer payload pattern,core network,temporary disconnections,wireless channel,mobile communication network capacity,mobile ip traffic,application flow,metcs,sequential packets,value added services,3gpp,classification accuracy,telecommunication traffic,entropy,error statistics,maximum entropy based ip-traffic classification,mobile communication networks,accuracy,traffic classification,bit error rate,support vector machine,mobile computing,real time,support vector machines,mobile ip,maximum entropy,payloads,mobile computer
Mobile computing,Traffic classification,Mobile IP,Wireless,Core network,Computer science,Network packet,Computer network,Real-time computing,Mobile telephony,Internet traffic
Conference
Volume
Issue
ISSN
null
null
1525-3511
ISBN
Citations 
PageRank 
978-1-4673-0436-8
5
0.50
References 
Authors
10
6
Name
Order
Citations
PageRank
Xue Han1143.06
Yiqing Zhou297375.42
Liang Huang350.50
Lin Han461.47
Jinlong Hu5354.08
Jinglin Shi657159.91