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引用次数: 38

摘要

在指定授权时,平衡保护和授权是一个中心问题。最小特权原则是平衡这两个相互冲突的目标的经典方法,它说用户应该只被授权执行完成其工作所必需的任务。但是,当存在多个满足最小特权的授权策略时,应该选择哪一个?在本文中,我们模拟了用户必须作为工作流执行的任务,以及与授权策略及其管理相关的风险和成本。然后,我们将授权和保护的平衡表述为一个优化问题:找到一个允许成功执行工作流的成本最小化的授权策略。我们证明了寻找基于角色的成本函数的最优解是np完全的。我们用一系列示例来支持我们的结果,我们也使用这些示例来度量原型实现的性能。
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Optimal workflow-aware authorizations
Balancing protection and empowerment is a central problem when specifying authorizations. The principle of least privilege, the classical approach to balancing these two conflicting objectives, says that users shall only be authorized to execute the tasks necessary to complete their job. However, when there are multiple authorization policies satisfying least privilege, which one should be chosen? In this paper, we model the tasks that users must execute as workflows, and the risk and cost associated with authorization policies and their administration. We then formulate the balancing of empowerment and protection as an optimization problem: finding a cost-minimizing authorization policy that allows a successful workflow execution. We show that finding an optimal solution for a role-based cost function is NP-complete. We support our results with a series of examples, which we also use to measure the performance of our prototype implementation.
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