Building a Data Trust: Fine(r)-Grained Attribute Based Policy Machine

With the increase in data sharing and a growing number of data consumers, access control can become a challenging task to manage. This paper introduces the development of the Finer-Grained Attribute-based Policy (FiGAP) machine, an innovative framework designed to manage access within a Data Trust. FiGAP leverages fine-grained access control mechanisms with inheritance to facilitate enhanced data sharing across different organizational boundaries. Unlike other access control models, this paper develops and thoroughly explains a distinct framework that allows for the establishment of an adaptable Data Trust, potentially as a service. Additionally, this approach also provides an exceptionally detailed level of permission control.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.176
Citations
1
Primary Topic
Access Control and Trust
Type
article
Field-Weighted Citation Impact
4.20
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article

Building a Data Trust: Fine(r)-Grained Attribute Based Policy Machine

André Ludwig, Bogdan Franczyk, Michael Koch, Sascha Kober
1 citations
Procedia Computer Science
Access Control and Trust
4.20
article

Building a Data Trust: Fine(r)-Grained Attribute Based Policy Machine

André Ludwig, Bogdan Franczyk, Michael Koch, Sascha Kober
article en
1 citations

Abstract

With the increase in data sharing and a growing number of data consumers, access control can become a challenging task to manage. This paper introduces the development of the Finer-Grained Attribute-based Policy (FiGAP) machine, an innovative framework designed to manage access within a Data Trust. FiGAP leverages fine-grained access control mechanisms with inheritance to facilitate enhanced data sharing across different organizational boundaries. Unlike other access control models, this paper develops and thoroughly explains a distinct framework that allows for the establishment of an adaptable Data Trust, potentially as a service. Additionally, this approach also provides an exceptionally detailed level of permission control.

Procedia Computer ScienceVol. 270
Leipzig University (DE)
Openalex Percentile: Top 5%
Access Control and Trust
4.20
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Building a Data Trust: Fine(r)-Grained Attribute Based Policy Machine — André Ludwig, Bogdan Franczyk, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS