Privacy-preserving access control model for big data cloud

Due to the proliferation of advanced analytic applications built on a massive scale of data from several data sources, big data technology has emerged to shift the paradigm of data management. Big data management is usually taken into data outsourcing environment such as cloud computing. According to the outsourcing environment, security and privacy management becomes one of the critical issues for business decision. Typically, cryptographic-based access control is employed to support privacy-preserving authentication and authorization for data outsourcing scenario. In this paper, we propose a novel access control model combining Role-based Access Control (RBAC) model, symmetric encryption, and ciphertext attribute-based encryption (CP-ABE) to support fine-grained access control for big data outsourced in cloud storage systems. We also demonstrate the efficiency and performance of our proposed scheme through the implementation.