• DocumentCode
    2198664
  • Title

    Visual network traffic classification using multi-dimensional piecewise polynomial models

  • Author

    Sanders, Sean ; Fairbanks, Kevin ; Jampana, Sahitya ; Owen, Henry, III

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    18-21 March 2010
  • Firstpage
    283
  • Lastpage
    286
  • Abstract
    Computer networks have become a ubiquitous part of modern society. As the spread of networks continues to increase, so do the various applications for the underlying technology. Thus traffic classification has become and remains important to network administrators. In this paper, preliminary results using multi-dimensional piecewise polynomials to model network traffic are shown. Different types of traffic are modeled and inspected visually to demonstrate the usefulness of the procedure.
  • Keywords
    computer networks; piecewise polynomial techniques; telecommunication congestion control; computer networks; multidimensional piecewise polynomial models; network administrators; network traffic model; visual network traffic classification; Computer networks; Data analysis; Payloads; Polynomials; Sampling methods; Statistical analysis; Statistics; TCPIP; Telecommunication traffic; Traffic control; Piecewise Polynomial; Traffic Classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
  • Conference_Location
    Concord, NC
  • Print_ISBN
    978-1-4244-5854-7
  • Type

    conf

  • DOI
    10.1109/SECON.2010.5453871
  • Filename
    5453871