DocumentCode
3780178
Title
Analyzing quality criteria in role-based identity and access management
Author
Michael Kunz;Ludwig Fuchs;Michael Netter;G?nther Pernul
Author_Institution
University of Regensburg, Regensburg, Germany
fYear
2015
Firstpage
1
Lastpage
9
Abstract
Roles have turned into the de facto standard for access control in enterprise identity management systems. However, as roles evolve over time, companies struggle to develop and maintain a consistent role model. Up to now, the core challenge of measuring the current quality of a role model and selecting criteria for its optimization remains unsolved. In this paper, we conduct a survey of existing role mining techniques and identify quality criteria inherently used by these approaches. This guides organizations during the selection of a role mining technique that matches their company-specific quality preferences. Moreover, our analysis aims to stimulate the research community to integrate quality metrics in future role mining approaches.
Keywords
"Data mining","Clustering algorithms","Access control","Companies","Optimization","Algorithm design and analysis","Current measurement"
Publisher
ieee
Conference_Titel
Information Systems Security and Privacy (ICISSP), 2015 International Conference on
Type
conf
Filename
7509931
Link To Document