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Resource and Attribute Based Access Control Model for System with Huge Amounts of Resources

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Green, Pervasive, and Cloud Computing (GPC 2018)

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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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Acknowledgments

This work is supported by the National Natural Science Foundation (NNSF) of China (Grant No. 61572385).

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Correspondence to Gang Liu .

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Liu, G., Fang, L., Wang, Q., Qi, X., Cui, J., Liu, J. (2019). Resource and Attribute Based Access Control Model for System with Huge Amounts of Resources. In: Li, S. (eds) Green, Pervasive, and Cloud Computing. GPC 2018. Lecture Notes in Computer Science(), vol 11204. Springer, Cham. https://doi.org/10.1007/978-3-030-15093-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-15093-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15092-1

  • Online ISBN: 978-3-030-15093-8

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