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
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;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
DOI :
10.1109/ICACIA.2010.5709871
