Research Article
Towards behavioral control in multi-player network games
@INPROCEEDINGS{10.1109/GAMENETS.2009.5137461, author={Andrey Lukyanenko and Andrei Gurtov}, title={Towards behavioral control in multi-player network games}, proceedings={1st International Conference on Game Theory for Networks}, publisher={IEEE}, proceedings_a={GAMENETS}, year={2009}, month={6}, keywords={DDoS attack fairness game theory traceback player behavior misbehavior.}, doi={10.1109/GAMENETS.2009.5137461} }- Andrey Lukyanenko
Andrei Gurtov
Year: 2009
Towards behavioral control in multi-player network games
GAMENETS
IEEE
DOI: 10.1109/GAMENETS.2009.5137461
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.
