Vast amounts of users sensitive data are stored on the big data platform. The sharing of sensitive data will help enterprises to reduce the cost of providing users with personalized service, and achieve value-added services of data. However, the secure sharing of data is an urgent problem. By analyzing the present security situation of sensitive data, this paper proposes a framework for secure sharing of those data on big data platform, including security submission, storage, use and destruction of sensitive data on the semi-trusted big data sharing platform. Relevant key technologies were studied, such as the proxy re-encryption algorithm based on heterogeneous cipher-text transformation and user process protection methods based on the virtual machine monitor, which provides support for the realization of system functions. The framework well protects the security of users sensitive data, and shares these data effectively and safely. At the same time, the data owners have complete control of their own data, which is conducive to foster a sound environment for modern Internet information security.
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