• DocumentCode
    3292513
  • Title

    DG-Based DDoS Detection Using Hybrid Strategy

  • Author

    Peng, Dan ; Chang, Guiran ; Guo, Rui ; Qin, Yuhai

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • Volume
    5
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    420
  • Lastpage
    424
  • Abstract
    In this paper, it is advocated that defenders should take active action to stop DDoS attacks. We propose a new model based on differential games theory. Four main actors are included, attacker, defender, victim, and Botnet. It is our belief that victims who experience an attack should cooperate with defender to defend for a DDoS-attack. The model indicates the minimum number of bots that should blocked by defender. A hybrid strategy is used to determine how a Defender combats an Attacker and protect the servers. The feasibility and effectiveness of our approach is validated by measuring the performance of an experimental prototype against a series of attacks. The advantages of the scheme are discussed and further research directions are given.
  • Keywords
    game theory; security of data; DDoS attacks; differential games theory; hybrid strategy; Automatic control; Computer crime; Computer worms; Control systems; Fuzzy systems; Game theory; Information science; Knowledge engineering; Network servers; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.654
  • Filename
    4666561