Bridging the gap between role mining and role engineering via migration guides

Anne Baumgrass, Mark Strembeck
2013 Information Security Technical Report  
Keywords: RBAC Migration Model comparison Role engineering Role mining a b s t r a c t In the context of role-based access control (RBAC), mining approaches, such as role mining or organizational mining, can be applied to derive permissions and roles from a system's configuration or from log files. In this way, mining techniques document the current state of a system and produce current-state RBAC models. However, such current-state RBAC models most often follow from structures that have
more » ... over time and are not the result of a systematic rights management procedure. In contrast, role engineering is applied to define a tailored RBAC model for a particular organization or information system. Thus, role engineering techniques produce a target-state RBAC model that is customized for the business processes supported via the respective information system. The migration from a current-state RBAC model to a tailored target-state RBAC model is, however, a complex task. In this paper, we present a systematic approach to migrate current-state RBAC models to target-state RBAC models. In particular, we use model comparison techniques to identify differences between two RBAC models. Based on these differences, we derive migration rules that define which elements and element relations must be changed, added, or removed. A migration guide then includes all migration rules that need to be applied to a particular current-state RBAC model to produce the corresponding target-state RBAC model. We conducted two comparative studies to identify which visualization technique is most suitable to make migration guides available to human users. Based on the results of these comparative studies, we implemented tool support for the derivation and visualization of migration guides. Our software tool is based on the Eclipse Modeling Framework (EMF). Moreover, this paper describes the experimental evaluation of our tool. ª i n f o r m a t i o n s e c u r i t y t e c h n i c a l r e p o r t 1 7 ( 2 0 1 3 ) 1 4 8 e1 7 2 1363-4127/$ e see front matter ª
doi:10.1016/j.istr.2013.03.003 fatcat:3kftpbqf2zgg5exlcjtrl52sdu