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Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
by
Munoz-Arcentales, Andres
, Salvachúa, Joaquín
, Huecas, Gabriel
, Barra, Enrique
, Plaza-Ortiz, Irene
, Aparicio, Carlos
in
Access control
/ Authentication
/ Sovereignty
2025
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Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
by
Munoz-Arcentales, Andres
, Salvachúa, Joaquín
, Huecas, Gabriel
, Barra, Enrique
, Plaza-Ortiz, Irene
, Aparicio, Carlos
in
Access control
/ Authentication
/ Sovereignty
2025
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Do you wish to request the book?
Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
by
Munoz-Arcentales, Andres
, Salvachúa, Joaquín
, Huecas, Gabriel
, Barra, Enrique
, Plaza-Ortiz, Irene
, Aparicio, Carlos
in
Access control
/ Authentication
/ Sovereignty
2025
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Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
Paper
Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
2025
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Overview
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.
Publisher
Cornell University Library, arXiv.org
Subject
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