• DocumentCode
    459217
  • Title

    Network Anomaly Detection using Neural Networks

  • Author

    Globa, L. ; Demidova, Y. ; Ternovoy, M.

  • Author_Institution
    Nat. Tech. Univ. of Ukarine, Kyiv
  • Volume
    1
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    412
  • Lastpage
    413
  • Abstract
    The advisability of using neural networks for detecting network anomalies is grounded. The solution method for network anomaly detection based on neural approach is offered. The back-propagation neural network for solution of the problem is selected. DoS and DDoS threats are simulated
  • Keywords
    backpropagation; neural nets; security of data; telecommunication computing; telecommunication security; DDoS threats; DoS threats; back-propagation neural network; distributed denial-of-service; network anomaly detection; Computer crime; Helium; Indium tin oxide; Neural networks; Security; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave and Telecommunication Technology, 2006. CriMiCO '06. 16th International Crimean Conference
  • Conference_Location
    Sevastopol, Crimea
  • Print_ISBN
    966-7968-92-8
  • Electronic_ISBN
    966-7968-92-8
  • Type

    conf

  • DOI
    10.1109/CRMICO.2006.256445
  • Filename
    4023750
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=459217