Resource and attribute based access control model for system with huge amounts of resources

G Liu, L Fang, Q Wang, X Qi, J Cui, J Liu�- Green, Pervasive, and Cloud�…, 2019 - Springer
G Liu, L Fang, Q Wang, X Qi, J Cui, J Liu
Green, Pervasive, and Cloud Computing: 13th International Conference, GPC 2018�…, 2019Springer
In information systems where there are a large number of different resources and the
resource attributes change frequently, the security, reliability and dynamics of access
permissions should be guaranteed. The changing raises security concerns related to
authorization, and access control, but existing access control models are difficult to meet
practical requirements. In this paper, a resource and attribute based access control model
named RA-BAC was proposed. The model bases on attribute-based access control (ABAC)�…
Abstract
In information systems where there are a large number of different resources and the resource attributes change frequently, the security, reliability and dynamics of access permissions should be guaranteed. The changing raises security concerns related to authorization, and access control, but existing access control models are difficult to meet practical requirements. In this paper, a resource and attribute based access control model named RA-BAC was proposed. The model bases on attribute-based access control (ABAC) and links access control policy with resource, and redefines the access control rules. Besides, we compare RA-BAC and ABAC from the perspective of theory and simulation experiment respectively to show the advantage of RA-BAC model. We give a detailed analysis combining with instances to show the practicability of the RA-BAC model. RA-BAC solves the problems of policy conflict and policy library expansion in the ABAC model when there are too many resources and the attributes of resources are changed frequently in the system. Using RA-BAC model in system can makes permission query efficient and reduce workload of the system administrator of managing the policy library.
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