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dc.contributor.authorPasarella Sánchez, Ana Edelmira
dc.contributor.authorLobo, Jorge
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2018-02-02T10:13:31Z
dc.date.available2018-02-02T10:13:31Z
dc.date.issued2017
dc.identifier.citationPasarella, E., Lobo, J. A datalog framework for modeling relationship-based access control policies. A: ACM Symposium on Access Control Models and Technologies. "Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies". Indianapolis, IN: Association for Computing Machinery (ACM), 2017, p. 91-102.
dc.identifier.isbn978-1-4503-4702-0
dc.identifier.urihttp://hdl.handle.net/2117/113608
dc.descriptionSACMAT'17 Best paper
dc.description.abstractRelationships 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.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Seguretat informàtica
dc.subject.lcshOnline social networks -- Access control
dc.subject.otherRelationship-based access control
dc.subject.otherSecurity and privacy policies
dc.subject.otherDatalog
dc.titleA datalog framework for modeling relationship-based access control policies
dc.typeConference report
dc.subject.lemacXarxes socials en línia -- Control d'accés
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.identifier.doi10.1145/3078861.3078871
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://dl.acm.org/citation.cfm?id=3078871
dc.rights.accessOpen Access
local.identifier.drac21866757
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TIN2013-46181-C2-1-R/ES/MODELOS Y METODOS COMPUTACIONALES PARA DATOS MASIVOS ESTRUCTURADOS/
local.citation.authorPasarella, E.; Lobo, J.
local.citation.contributorACM Symposium on Access Control Models and Technologies
local.citation.pubplaceIndianapolis, IN
local.citation.publicationNameProceedings of the 22nd ACM on Symposium on Access Control Models and Technologies
local.citation.startingPage91
local.citation.endingPage102


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