• DocumentCode
    3397311
  • Title

    DDoS tolerant networks

  • Author

    Feinstein, Laura ; Schnackenberg, Dan ; Balupari, Ravindra ; Kindred, Darrell

  • Volume
    2
  • fYear
    2003
  • fDate
    22-24 April 2003
  • Firstpage
    73
  • Abstract
    The nature of the threats posed by distributed denial of service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These methods must be deployed not only at the edge but also at the core of the network. The DDoS tolerant networks technology incorporates methods to detect, characterize, and respond to DDoS attacks by computing entropy and frequency-sorted distributions of selected packet attributes. Preliminary results indicate that these methods can be effective against current attacks and suggest directions for improving detection of more stealthy attacks.
  • Keywords
    Internet; entropy; fault tolerant computing; military computing; security of data; statistical distributions; telecommunication security; DARPA; DDoS attacks; DDoS tolerant networks; Internet; distributed denial of service; entropy; frequency-sorted distributions; selected packet attributes; stealthy attack detection; Computer crime; Contracts; Distortion measurement; Entropy; Face detection; Face recognition; Internet; Manuals; Page description languages; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    DARPA Information Survivability Conference and Exposition, 2003. Proceedings
  • Print_ISBN
    0-7695-1897-4
  • Type

    conf

  • DOI
    10.1109/DISCEX.2003.1194924
  • Filename
    1194924