TR2013-113

On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games


    •  Wang, Y.; Rane, S.; Ishwar, P., "On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games", IEEE Global Conference on Signal and Information Processing (GlobalSIP), December 2013.
      BibTeX Download PDF
      • @inproceedings{Wang2013dec3,
      • author = {Wang, Y. and Rane, S. and Ishwar, P.},
      • title = {On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games},
      • booktitle = {IEEE Global Conference on Signal and Information Processing (GlobalSIP)},
      • year = 2013,
      • month = dec,
      • url = {http://www.merl.com/publications/TR2013-113}
      • }
  • MERL Contact:

In game theory, a trusted mediator acting on behalf of the players can enable the attainment of correlated equilibria, which may provide better payoffs than those available from the Nash equilibria alone. We explore the approach of replacing the trusted mediator with an unconditionally secure sampling protocol that jointly generates the players' actions. We characterize the joint distributions that can be securely sampled by malicious players via protocols using error free communication. This class of distributions depends on whether players may speak simultaneously (cheap talk) or must speak in turn (polite talk). In applying sampling protocols toward attaining correlated equilibria with rational players, we observe that security against malicious protocols may be much stronger than necessary. We propose the concept of secure sampling by rational players, and show that many more distributions are feasible given certain utility functions. However, the payoffs attainable via secure sampling by malicious players are a dominant subset of the rationally attainable payoffs.