• DocumentCode
    3105092
  • Title

    Traffic Characterization of Large-Scale Access Network and Implications

  • Author

    Miao, Li-hua ; Ding, Wei

  • Author_Institution
    Coll. of Comput. Sci. & Eng., Southeast Univ. Nanjing, Nanjing, China
  • fYear
    2011
  • fDate
    16-18 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper focus on analyzing traffic characterization of a large-scale access network based on active IP address count and link utilization. We find out that the behavior of internal and external hosts is asymmetric, the utilization of internal IP addresses per day is about 18.64% and the maximum link utilization is about 53%. Based on these, we proposed a scheme for detecting traffic anomalies which is proved to be powerful than another work.
  • Keywords
    IP networks; telecommunication security; telecommunication traffic; active IP address count; internal IP address; large-scale access network; link utilization; traffic anomaly; traffic characterization; Computational modeling; Computer science; IP networks; Internet; Measurement; Publishing; YouTube;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications (iTAP), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7253-6
  • Type

    conf

  • DOI
    10.1109/ITAP.2011.6006242
  • Filename
    6006242