Title :
Research of network business identification key technology
Author :
Zhenfeng He ; Shunhua Tan ; Haojian Ma
Author_Institution :
Southwest Univ. of Sci. & Technol., Mian Yang, China
Abstract :
The next generation network (NGN) is driven by business. The business identification and control is meaningful to management of NGN and safety. Aimed at the accuracy and effectiveness of network business identification mechanism, one systematic model is developed with accurate and intelligent identification function. The research on business flow identification technology is conducted. Through testing the identification accuracy has been improved a lot.
Keywords :
Bayes methods; business communication; learning (artificial intelligence); next generation networks; NGN; business flow identification technology; intelligent identification function; network business identification key technology; network business identification mechanism; next generation network; systematic model; Accuracy; Business; Engines; Payloads; Ports (Computers); Protocols; Testing;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933641
