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 :
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