• DocumentCode
    2802292
  • Title

    A Survey of Application-Level Protocol Identification Based on Machine Learning

  • Author

    Amei, Wu ; Huailin, Dong ; Qingfeng, Wu ; Ling, Lin

  • Author_Institution
    Software Sch., Xiamen Univ., Xiamen, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-27 Nov. 2011
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    Application-level protocol identification has attracted great interests in academia and become a relatively independent research realm. With the rapid development of Internet and the protocols complicated day by day, the traditional port-based application-level protocol identification algorithms become inaccurate. Machine learning is a hot research in the hour. Many researchers have taken the method into consideration in application protocol recognition. The high correct rate and wide applicability make it promising. In the paper, some basic conceptions of protocol identification are introduced and some important algorithms of machine learning used in application-level protocol identification are summarized in three main way. The applicability is summarized by comparison. In the end, some disadvantages in the method and future research directions are posed.
  • Keywords
    Internet; learning (artificial intelligence); protocols; Internet; application protocol recognition; machine learning; port-based application-level protocol identification; Accuracy; Bayesian methods; Classification algorithms; Internet; Machine learning; Machine learning algorithms; Protocols; algorithm; application-level protocol identification; machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-61284-450-3
  • Type

    conf

  • DOI
    10.1109/ICIII.2011.331
  • Filename
    6114688