Protecting Personal Privacy under the Environment of Big Data

Personal privacy of citizens under the environment of big data is a hot spot of social concern. This paper focuses on the issue of the commercialization and sharing of personal data. A simple analytic hierarchy process is used to rationally divide the risk of privacy and build an evaluation system. The privacy equivalent model is then established through the construction of membership functions in fuzzy theory and service level of Vickrey-Clark-Groves (VCG). At last, based on the problem of liability commitment, corresponding recommendations are studied under the data leakage mechanism.