• DocumentCode
    3713233
  • Title

    Traffic anomaly detection and DDOS attack recognition using diffusion map technologies

  • Author

    Michael Zheludev;Evgeny Nagradov

  • Author_Institution
    Orator Labs, Moscow, Russia
  • fYear
    2015
  • Firstpage
    128
  • Lastpage
    132
  • Abstract
    This paper provides a method of mathematical representation of the traffic flow of network states. Anomalous behavior in this model is represented as a point, not grouped in clusters allocated by the "alpha-stream" process.
  • Keywords
    "Measurement","Training","Geometry","Clustering algorithms","Classification algorithms","Computer crime","Telecommunication traffic"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technologies (CSIT), 2015
  • Type

    conf

  • DOI
    10.1109/CSITechnol.2015.7358265
  • Filename
    7358265
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3713233