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Toward Mining of Temporal Roles

机译:挖掘时间角色

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摘要

In Role-Based Access Control (RBAC), users acquire permissions through their assigned roles. Role mining, the process of finding a set of roles from direct user-permission assignments, is essential for successful implementation of RBAC. In many organizations it is often required that users are given permissions that can vary with time. To handle such requirements, temporal extensions of RBAC like Temporal-RBAC (TRBAC) and Generalized Temporal Role-Based Access Control (GTRBAC) have been proposed. Existing role mining techniques, however, cannot be used to process the temporal element associated with roles in these models. In this paper, we propose a method for mining roles in the context of TRBAC. First we formally define the Temporal Role Mining Problem (TRMP), and then show that the TRMP problem is NP-complete and present a heuristic approach for solving it.
机译:在基于角色的访问控制(RBAC)中,用户通过分配的角色获得权限。角色挖掘是从直接用户权限分配中查找一组角色的过程,对于成功实施RBAC至关重要。在许多组织中,通常需要向用户授予权限,该权限可能会随时间而变化。为了满足这样的要求,已经提出了诸如时间-RBAC(TRBAC)和基于时间的基于角色的通用访问控制(GTRBAC)之类的RBAC的时间扩展。但是,现有的角色挖掘技术不能用于处理与这些模型中的角色关联的时间元素。在本文中,我们提出了一种在TRBAC上下文中挖掘角色的方法。首先,我们正式定义时间角色挖掘问题(TRMP),然后证明该TRMP问题是NP完全的,并提出了一种启发式方法来解决。

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