• DocumentCode
    3730370
  • Title

    Network traffic classification for anomaly detection fuzzy clustering based approach

  • Author

    Julija Asmuss;Gunars Lauks

  • Author_Institution
    Institute of Telecommunication, Riga Technical University, Latvia
  • fYear
    2015
  • Firstpage
    313
  • Lastpage
    318
  • Abstract
    In this paper we develop network traffic classification and anomaly detection methods based on traffic time series analysis using fuzzy clustering technique. The effectiveness of fuzzy and possibilistic algorithms is compared on generated traffic data with and without traffic attack components.
  • Keywords
    "Transforms","Time series analysis","Telecommunication traffic","Indexes","Clustering algorithms","Computer crime","Aggregates"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
  • Type

    conf

  • DOI
    10.1109/FSKD.2015.7381960
  • Filename
    7381960
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3730370