Research and Practice of DataRBAC-based Big Data Privacy Protection
Huang Lanying, Xiong Zenggang, Xuemin Zhang, Wang guangwei, Conghuan Ye · The Open Cybernetics & Systemics Journal · 2015
With the emergence of the era of big data, big data not only helps production, it also exposes us to uncertain risks.How to ensure a secure and private big data against current technical conditions is an urgent issue subject to answer.Facing the challenges of subscriber privacy protection and access control and others, the paper mainly studied the Role-Based Access Control (RBAC) and analyzed the demand for data item control from the point of view of data security and privacy protection and then established an access control model based on data item to achieve multiple control of the data item in the interface based on roles when various subscribers operate the same function.The practical application further proved its value.