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December 16, 2016
Conference Paper
Title
An ex-ante estimation approach of noise in role based access control models in dynamic scenarios
Abstract
This contribution provides a definition of noise in role based access control (RBAC) models in dynamic scenarios, along with an ex-ante estimation approach. The contribution builds upon the role mining problem and identifies the factors of dynamic scenarios which may lead to RBAC noise. Dynamic scenarios
may lead to noise if the scenario incorporates a large amount of subjects a large amount of objects, a significantly smaller convex set, and even-edged cycles. An approach which is able to estimate the noise of RBAC ex-ante based upon process descriptions is provided. Finally, this approach is applied to a scenario of document based access enforcement in engineering showing that it constitutes a dynamic scenario which may lead to noise in RBAC. The approach can be used for decision-making within role engineering projects, and will be used in future research for estimating access rights structures in different scenarios.
may lead to noise if the scenario incorporates a large amount of subjects a large amount of objects, a significantly smaller convex set, and even-edged cycles. An approach which is able to estimate the noise of RBAC ex-ante based upon process descriptions is provided. Finally, this approach is applied to a scenario of document based access enforcement in engineering showing that it constitutes a dynamic scenario which may lead to noise in RBAC. The approach can be used for decision-making within role engineering projects, and will be used in future research for estimating access rights structures in different scenarios.
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