Authors:
Aya Mohamed
1
;
2
;
Dagmar Auer
1
;
2
;
Daniel Hofer
1
;
2
and
Josef Küng
1
;
2
Affiliations:
1
Institute of Application-oriented Knowledge Processing, Johannes Kepler University Linz, Linz, Austria
;
2
LIT Secure and Correct Systems Lab, Johannes Kepler University Linz, Linz, Austria
Keyword(s):
Access Control, Authorization Policy, Graph-Structured Data, Graph Database, Cypher, Neo4j, XACML.
Abstract:
The increasing use of graph-structured data for business- and privacy-critical applications requires sophisticated, flexible and fine-grained authorization and access control. Currently, role-based access control is supported in graph databases, where access to objects is restricted via roles. This does not take special properties of graphs into account, such as vertices and edges along the path between a given subject and resource. In our previous research iterations, we started to design an authorization policy language and access control model, which considers the specification of graph paths and enforces them in the multi-model database ArangoDB. Since this approach is promising to consider graph characteristics in data protection, we improve the language in this work to provide flexible path definitions and specifying edges as protected resources. Furthermore, we introduce a method for a datastore-independent policy enforcement. Besides discussing the latest work in our XACML4G
model, which is an extension to the Extensible Access Control Markup Language (XACML), we demonstrate our prototypical implementation with a real case giving an outlook on performance.
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