• DocumentCode
    1872642
  • Title

    An Analytical Model for DDoS Attacks and Defense

  • Author

    Xiang,, Yang ; Li, Zhongwen

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Deakin Univ.
  • fYear
    2006
  • fDate
    Aug. 2006
  • Firstpage
    66
  • Lastpage
    66
  • Abstract
    Distributed denial of service (DDoS) attack has been identified as one of the most serious problems on the Internet. While much of the current research focus on DDoS countermeasures, little attention has been paid on DDoS modeling, which is one of the important aspects that can help provide better solutions against DDoS attacks. This paper proposes an analytical model for the interactions between DDoS attack party and defense party, which allows us to have a deep insight of the interactions between the attack and defense parties. Many refinements of the basic analytical model such as reinforcement of the defense party and loss in defense party are given in the paper, which suit for many real DDoS scenarios. Moreover, the applications of this model demonstrate that the model can precisely estimate the effectiveness of a DDoS defense system before it encounters different attacks and quantitatively estimate the optimal level of investment on DDoS defense system. Additionally, it can also be applied to model some other network security problems such as virus and spam defense
  • Keywords
    Internet; computer crime; computer viruses; unsolicited e-mail; DDoS attacks; DDoS countermeasures; DDoS modeling; Internet; distributed denial of service attack; network security; spam; virus; Analytical models; Computer crime; Educational institutions; Equations; Information science; Information technology; Investments; Security; Traffic control; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in the Global Information Technology, 2006. ICCGI '06. International Multi-Conference on
  • Conference_Location
    Bucharest
  • Print_ISBN
    0-7695-2690-X
  • Electronic_ISBN
    0-7695-2690-X
  • Type

    conf

  • DOI
    10.1109/ICCGI.2006.7
  • Filename
    4124085