A datalog framework for modeling relationship-based access control policies

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• dc.contributor.author Pasarella Sánchez, Ana Edelmiraca
• dc.contributor.author Lobo, Jorgeca
• dc.date.accessioned 2018-04-24T09:51:29Z
• dc.date.available 2018-04-24T09:51:29Z
• dc.date.issued 2017
• dc.description Comunicació presentada al SACMAT'17. 22nd ACM Symposium on Access Control Models and Technologies, celebrat els dies 21 a 23 de juny de 2017 a Indianapolis, EUA.
• dc.description.abstract Relationships like friendship to limit access to resources have been part of social network applications since their beginnings. Describing access control policies in terms of relationships is not particular to social networks and it arises naturally in many situations. Hence, we have recently seen several proposals formalizing different Relationship-based Access Control (ReBAC) models. In this paper, we introduce a class of Datalog programs suitable for modeling ReBAC and argue that this class of programs, that we called ReBAC Datalog policies, provides a very general framework to specify and implement ReBAC policies. To support our claim, we first formalize the merging of two recent proposals for modeling ReBAC, one based on hybrid logic and the other one based on path regular expressions. We present extensions to handle negative authorizations and temporal policies. We describe mechanism for policy analysis, and then discuss the feasibility of using Datalog-based systems as implementations.en
• dc.description.sponsorship Edelmira Pasarella was partially supported by the Spanish Ministry for Economy and Competitiveness (MINECO) and the European Union (FEDER funds) under Grant Ref.: TIN2013-46181-C2-1-R COMMAS. Jorge Lobo was partially supported by the Secretaria d’Universitats i Recerca de la Generalitat de Catalunya, the Maria de Maeztu Units of Excellence Programme and the Spanish Ministry for Economy and Competitiveness (MINECO) under Grant Ref.: TIN2016-81032-P.
• dc.format.mimetype application/pdf
• dc.identifier.citation Pasarella E, Lobo J. A datalog framework for modeling relationship-based access control policies. In: SACMAT'17. 22nd ACM Symposium on Access Control Models and Technologies; 2017 Jun 21-23; Indianapolis, IN. New York (NY): ACM; 2017. p. 91-102. DOI: 10.1145/3078861.3078871
• dc.identifier.doi http://dx.doi.org/10.1145/3078861.3078871
• dc.identifier.uri http://hdl.handle.net/10230/34430
• dc.language.iso eng
• dc.publisher ACM Association for Computer Machineryca
• dc.relation.ispartof SACMAT'17. 22nd ACM Symposium on Access Control Models and Technologies; 2017 Jun 21-23; Indianapolis, IN. New York (NY): ACM; 2017. p. 91-102.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2013-46181-C2-1-R
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2016-81032-P
• dc.rights © 2017 Association for Computing Machinery
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Relationship-based access controlen
• dc.subject.keyword Security and privacy policiesen
• dc.subject.keyword Datalogen
• dc.title A datalog framework for modeling relationship-based access control policiesca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion