Combined access control model embedding configurable policy for fine-grained data security

With the wide applications of the Internet of Things, a lot of business data is generated by mobile embedded devices, and traditional data access control faces the new security risk. To enforce security and privacy requirements of information, the fixed data access control model needs to be added with the configurable authority policy, and it is necessary to ensure that new model is embedded without changing the original architecture. In this paper, we study the data access strategies on BlueKing platform, and design an embedded model by combing the role-based access control (RBAC) and label-based access control (LBAC) for fine-grained data access control. In proposed model, we first obtain the preliminary permissions result by using the original RBAC method. Then, we analyze the difference between the requirements and preliminary result, and we design the embedded polices components based on LBAC for the original framework. Finally, we generate the data access result for row and column by parsing the requirements with authority policies. The proposed model does not invade the original RBAC, and perform the fine-grained data access control, which has begun to be integrated into BlueKing platform. (C) 2020 Elsevier B.V. All rights reserved.