A datalog framework for modeling relationship-based access control policies
Document typeConference report
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectMODELOS Y METODOS COMPUTACIONALES PARA DATOS MASIVOS ESTRUCTURADOS (MINECO-TIN2013-46181-C2-1-R)
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.
SACMAT'17 Best paper
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.