A Novel Graph-Based Privacy Policy Management System

Privacy and data protection have become a critical issue in recent years. Not surprisingly, many technologies have been proposed to support privacy data management. The widely used access control model, role based access control (RBAC), significantly simplifies the specification and management of data. In this paper we proposed a privacy-aware system to improve the performance in RBAC, which properly expresses the relationship between data elements. As some vulnerabilities may be raised after certain sensitive data are disclosed, our privacy data graph successfully solved this problem by reducing disclosure of data minimizing overhead. We extend our previous work by refining the definition of roles, thus results in low storage overhead. A full detailed view of the role-based privacy management with experimental results is provided.