DocumentCode
2473937
Title
Research on network business identification technology based on IP packets
Author
Chen, Miao ; Tan, Shun-hua ; Yang, Guo-hai ; Wang, Yi-zhi
Author_Institution
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
150
Lastpage
154
Abstract
There are numerous methods for identifying network traffic in recent research. In our experiment, flow is collected by using parallel probe and network IP packets are captured based on WinPcap´s packet collecting technology. According to the characteristics of application layer protocol, a scalable identification system is proposed and network traffic can be classified as different application classes. Using our method, a part of unknown traffic is distinguished. This method brings a ideal for network flow management.
Keywords
IP networks; protocols; telecommunication traffic; WinPcap´s packet collecting technology; application layer protocol; network IP packets; network business identification; network flow management; network traffic; parallel probe; scalable identification system; Business; Data mining; IP networks; Monitoring; Protocols; Software; Switches; Data collection; IP packet; Service recognition; WinPcap;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8025-8
Type
conf
DOI
10.1109/ICACIA.2010.5709871
Filename
5709871
Link To Document