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Improving visual role mining using metadata

Juursema, J.A.J. (2018) Improving visual role mining using metadata.

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Abstract:Many organisations use access control solutions that do not make use of standardised access control models such as the well-studied Role-Based Access Control model (RBAC). Visual role mining is a way for organisations to translate their existing access policies from these solutions into an RBAC policy. We contribute to the existing body of research on visual role mining by extending the framework with the use of metadata in order to enable the elicitation of contextually meaningful roles. We validated these additions by visiting organisations with a proof of concept software application inplementing this framework. These interviews demonstrate that our approach can indeed help with eliciting contextually meaningful roles, and also confirm that in practice visual role mining is a valuable tool.
Item Type:Essay (Master)
Clients:
Nedap N.V., Groenlo, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:http://purl.utwente.nl/essays/76341
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