• DocumentCode
    130927
  • 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
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    605
  • Lastpage
    608
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933641
  • Filename
    6933641