Role Mining Based on Weights

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
Role mining from the existing permissions has been widely applied to aid the process of migrating to an RBAC system. While all permissions are treated evenly in previous approaches, none of the work has employed the weights of permissions in role mining to the user knowledge, thus providing the motivation for this work. In this paper, the authors generalize this to the case where permissions are given weights to reflect their importance to the system. The weights can correspond to the property of operations, the sensitive degree of objects, and the attribute of users associated with permissions.
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