• DocumentCode
    2318243
  • Title

    Towards behavioral control in multi-player network games

  • Author

    Lukyanenko, Andrey ; Gurtov, Andrei

  • Author_Institution
    Helsinki Inst. for Inf. Technol., Helsinki, Finland
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    683
  • Lastpage
    690
  • Abstract
    Congestion in the routers as well as certain types of resource-exhaustion DoS attacks at the servers can be treated by differentiating packet processing according to previous history of its source. Since it is often difficult to correctly classify packets as legitimate or attack traffic, the scheduling algorithm should tolerate imprecise labeling of packets as long as on the average it punishes misbehaving sources. In this paper, we propose a game-theoretic model based on player rating and formulate the problem in terms of optimal control theory. Applying the Pontryagin maximum principle, we derive necessary control functions to encourage good behavior of network players. As an application of results, we suggest two algorithms for differentiating packet treatment in congested servers and routers.
  • Keywords
    game theory; maximum principle; scheduling; telecommunication congestion control; telecommunication network routing; telecommunication traffic; Pontryagin maximum principle; behavioral control; multiplayer network game; network router; optimal control theory; packet processing; resource-exhaustion DoS attack; scheduling algorithm; Aggregates; Computer crime; Game theory; History; Information technology; Network servers; Optimal control; Resource management; Scheduling algorithm; Traffic control; DDoS attack; fairness; game theory; misbehavior; player behavior; traceback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Game Theory for Networks, 2009. GameNets '09. International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-4176-1
  • Electronic_ISBN
    978-1-4244-4177-8
  • Type

    conf

  • DOI
    10.1109/GAMENETS.2009.5137461
  • Filename
    5137461