• Title/Summary/Keyword: FA-RBAC

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A Flexible Attribute-based RBAC Model

  • Kim, Si-Myeong;Han, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.131-138
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    • 2022
  • In this paper, we propose an FA-RBAC (FA-RBAC) model based on flexible properties. This model is assigned attribute-role-centric, making it easy to manage objects, as efficient as access control, and as the network environment changes, it can provide flexible access control. In addition, fine-grained permissions and simple access control can be achieved while balancing the advantages and disadvantages of the RBAC and ABAC models, reducing the number of access control rules by combining static attribute-based roles and dynamic attribute-based rules, and verifying the validity and performance benefits of the proposed model through comparison analysis and simulation.

RBAC-based Trust Negotiation Model for Grid Security (그리드 보안을 위한 역할 기반의 신뢰 협상 모델)

  • Cho, Hyun-Sug;Lee, Bong-Hwan
    • The KIPS Transactions:PartC
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    • v.15C no.6
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    • pp.455-468
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    • 2008
  • In this paper, we propose FAS model for establishing trust based on digital certificates in Grid security framework. The existing RBAC(Role Based Access Control) model is extended to provide permissions depending on the users‘ roles. The FAS model is designed for a system independent integrated Grid security by detailing and extending the fundamental architecture of user, role, and permission. FAS decides each user’s role, allocates access right, and publishes attribute certificate. FAS is composed of three modules: RDM, PCM, and CCM. The RDM decides roles of the user during trust negotiation process and improves the existing low level Grid security in which every single user maps a single shared local name. Both PCM and CCM confirm the capability of the user based on various policies that can restrict priority of the different user groups and roles. We have analyzed the FAS strategy with the complexity of the policy graph-based strategy. In particular, we focused on the algorithm for constructing the policy graph. As a result, the total running time was significantly reduced.