Game Analysis of Privacy Protection Based on Nash Equilibrium in Big Data Environment

Abstract

Big data analysis has brought convenience to all fields of human life. At the same time, the problem of privacy leakage follows. Protecting user's private data and preventing sensitive information disclosure become urgent problems. However, big data has the characteristics of large amount of data, diversification of types and sources and rapid growth, so the traditional privacy protection technology is more and more unsuitable. The traditional privacy protection mechanism protects the privacy of users, at the same time, it will inevitably reduce the data utility[1]. On the basis of differential privacy knowledge, based on the Nash equilibrium privacy protection mechanism, this paper constructs an interrelated differential privacy model, analyzes and evaluates the game model among multiple data publishers, and proves the correctness of the game analysis.