A Game-based Method for User Privacy Protection in Big Data

In order to protect the user privacy in the big data environment, We propose a security method based on game theory through trust management mechanism. The main contribution of this paper include:(1) analysis service game relationship in the big data environment,(2)combine trust evaluation with decision management, and apply game theory to design a user-centric scheme to protect privacy,(3)proposing a service selection method. By using game theory to restrict the service interaction between the users and services in big data, we introduce some factors corresponding game model. we then apply the trust evaluation and decision management to describe the relationship and trust quantify in which we propose a method for service selection to implement user privacy protection. Simulation results show that the proposed method is effective and can apply the dynamic game of incomplete information relationship between user and service to make decisions on the service selection, thus providing customized privacy protection.