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Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL

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arxiv 2505.24742 v1 pith:NQ7XCVVO submitted 2025-05-30 cs.CR cs.ET

classification cs.CRcs.ET
keywords dataodrlaccesscontrolspacesapproachauthenticationauthorization
verification ladder T0 review T1 audit T2 compute T3 formal
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Data has become a crucial resource in the digital economy, fostering initiatives for secure and sovereign data sharing frameworks such as Data Spaces. However, these distributed environments require fine-grained access control mechanisms that balance openness with sovereignty and security. This paper proposes an extension of the Open Digital Rights Language (ODRL) standard, the ODRL Data Spaces (ODS) profile, aimed at supporting authorization and complementing existing authentication mechanisms throughout the data lifecycle. Additionally, a policy execution engine is introduced to translate ODRL policies into executable formats, enabling effective enforcement. The approach is validated through a use case involving OpenFGA, demonstrating its applicability to relationship-based access control scenarios.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation

    cs.CR 2025-07 reject novelty 2.0 of 10

    The paper is a literature review that classifies privacy-preserving AI techniques in dataspaces using a qualitative taxonomy of privacy, performance, and compliance ratings.

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