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Enhancing user access information with spatial data

Abstract Enforcing proper access control is essential for ensuring the security of sensitive resources in an organization. Access control models like the Role-Based Access Control (RBAC) model, its various temporal, spatial as well as spatial and temporal extensions have been proposed for achieving this objective. Though several algorithms have been presented by researchers for implementing RBAC and temporal RBAC, to the best of our knowledge, no attempts have been made so far for deploying a spatial or spatio-temporal RBAC model in terms of either creating suitable datasets or algorithms. For doing this, we require user-permission assignment information containing location constraints that need to be subjected to role mining approaches to derive the spatially constrained roles. In this paper, we focus on bridging this gap by presenting a suitable representation for spatially constrained access information. We name it as Spatial User-Permission Assignment (SUPA) matrix. We also propose an approach for generating SUPAs which can serve as inputs for the spatially constrained role creation procedures. We name our proposed method as Spatial Access Dataset Enumeration (SPADE). SPADE can be easily utilized to generate datasets of varied sizes which can be used for the performance evaluation of different role creation algorithms. As experimental results, we report the structure of sample SUPAs generated using SPADE.