Aya Mohamed, Dagmar Auer, Daniel Hofer, Josef Küng,
"Extended Authorization Policy for Graph-structured Data"
: The 23rd International Conference on Information Integration and Web Intelligence (iiWAS2021), November 29-December 1, 2021, Linz, Austria, in SN Computer Science, Serie International Conference on Information Integration and Web Intelligence, Vol. 2, Springer, Seite(n) 351, 2021
Extended Authorization Policy for Graph-structured Data
Sprache des Titels:
The 23rd International Conference on Information Integration and Web Intelligence (iiWAS2021), November 29-December 1, 2021, Linz, Austria
The high increase in the use of graph databases also for business- and privacy-critical applications demands for a sophisticated, flexible, fine-grained authorization and access control approach. Attribute-based access control (ABAC) supports a fine-grained definition of authorization rules and policies. Attributes can be associated with the subject, the requested resource and action, but also the environment. Thus, this is a promising starting point. However, specific characteristics of graph-structured data such as attributes on vertices and edges along a path to the resource, are not yet considered. The well-established eXtensible Access Control Markup Language (XACML), which defines a declarative language for fine-grained, attribute-based authorization policies, is the basis for our proposed approach - XACML for Graph-structured data (XACML4G). The additional path-specific constraints, described in graph patterns, demand for specialized processing of the rules and policies as well as adapted enforcement and decision making in the access control process. To demonstrate XACML4G and its enforcement process, we present a scenario from the university domain. Due to the project?s environment, the prototype is built with the multi-model database ArangoDB. The results are promising and further studies concerning performance and use in practice are planned.
Sprache der Kurzfassung:
SN Computer Science
International Conference on Information Integration and Web Intelligence