• DocumentCode
    3481102
  • Title

    A Distributed Self-Organizing Map for DoS attack detection

  • Author

    Minhoe Kim ; Souhwan Jung ; Minho Park

  • Author_Institution
    Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea
  • fYear
    2015
  • fDate
    7-10 July 2015
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    Self-Organizing Map (SOM), one of data mining techniques, has been used as a tool to detect DoS attacks. However, existing SOM-based approaches have the potential drawbacks, the limited detection throughput and vulnerability to DoS attack. Therefore, this paper proposes a new form of SOM, Distributed SOM (DSOM), and shows the feasibility of DSOM through comprehensive experiments.
  • Keywords
    computer network security; data mining; self-organising feature maps; DSOM; DoS attack detection; data mining techniques; denial-of-service attack; distributed self-organizing map; Accuracy; Computer crime; Data mining; Feature extraction; Floods; IP networks; Logic gates; Denial of Service attack; DoS detection; Self-Organizing Map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
  • Conference_Location
    Sapporo
  • ISSN
    2288-0712
  • Type

    conf

  • DOI
    10.1109/ICUFN.2015.7182487
  • Filename
    7182487
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3481102