Privacy-preserving data mining: a game-theoretic approach
DBSec'11 Proceedings of the 25th annual IFIP WG 11.3 conference on Data and applications security and privacy
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In this paper, we propose a game-theoretic mechanism to encourage truthful data sharing for distributed data mining. Our proposed mechanism uses the classic Vickrey-Clarke-Groves (VCG) mechanism and does not rely on the ability to verify the data of the parties participating in the distributed data mining protocol. Instead, we incentivize truth telling based solely on the data mining result. Under reasonable assumptions, we prove that these mechanisms are incentive compatible for distributed data mining. In addition, through extensive experimentation, we show that they are applicable in practice.