A datalog framework for modeling relationship-based access control policies

Pasarella Sánchez, Ana Edelmira; Lobo, Jorge

doi:http://dx.doi.org/10.1145/3078861.3078871

A datalog framework for modeling relationship-based access control policies

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

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.

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.