Poster: A Flexible Relationship-Based Access Control Policy Generator

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

A plethora of Relationship-Based Access Control (ReBAC) models have been proposed, varying in the types of policies they can express. This fragmentation has stifled the creation of a benchmark to directly compare the performance of ReBAC systems based on their common supported policies. To solve this problem, we propose RACON, a schema-driven, customisable ReBAC policy generator. RACON generates policies in an intermediate language subsuming the features required to encode existing ReBAC models. This language can subsequently be translated to popular ReBAC policy languages through an extensible translation module. Taking a view of ReBAC policies as graph queries, we implement translations into two popular graph query languages, namely Cypher and SPARQL.

Originele taal-2Engels
TitelSACMAT 2022 - Proceedings of the 27th ACM Symposium on Access Control Models and Technologies
UitgeverijAssociation for Computing Machinery, Inc
Pagina's263-265
Aantal pagina's3
ISBN van elektronische versie9781450393577
DOI's
StatusGepubliceerd - 7 jun. 2022
Evenement27th ACM Symposium on Access Control Models and Technologies, SACMAT 2022 - Virtual, Online, Verenigde Staten van Amerika
Duur: 8 jun. 202210 jun. 2022

Congres

Congres27th ACM Symposium on Access Control Models and Technologies, SACMAT 2022
Land/RegioVerenigde Staten van Amerika
StadVirtual, Online
Periode8/06/2210/06/22

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