高效扩展ABAC评估

C. Morisset, T. Willemse, Nicola Zannone
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引用次数: 10

摘要

基于属性的访问控制(ABAC)的一个主要挑战是对缺失信息的处理。一些研究表明,标准ABAC机制(例如XACML)处理缺失信息的方式存在缺陷,使得ABAC策略容易受到属性隐藏攻击。最近的工作通过引入扩展求值的概念解决了ABAC中信息缺失的问题,其中查询的求值考虑了扩展该查询的所有可能方法。该方法可以对抗属性隐藏攻击,但是幼稚的实现是难以处理的,因为它需要对整个查询空间进行评估。在本文中,我们提出了一种高效的扩展ABAC评估方法,该方法依赖于ABAC策略编码为多个二进制决策图(bdd),并依赖于查询约束的规范,以避免包括不代表系统有效状态的查询的评估。我们在两个现实世界的案例研究中说明了我们的方法,用原始方法是难以处理的,用我们的方法可以在几秒钟内进行分析。
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Efficient Extended ABAC Evaluation
A main challenge of attribute-based access control (ABAC) is the handling of missing information. Several studies show that the way standard ABAC mechanisms (e.g., XACML) handle missing information is flawed, making ABAC policies vulnerable to attribute-hiding attacks. Recent work addressed the problem of missing information in ABAC by introducing the notion of extended evaluation, where the evaluation of a query considers all possible ways of extending that query. This method counters attribute-hiding attacks, but a naive implementation is intractable, as it requires an evaluation of the whole query space. In this paper, we present an efficient extended ABAC evaluation method that relies on the encoding of ABAC policies as multiple Binary Decision Diagrams (BDDs), and on the specification of query constraints to avoid including the evaluation of queries that do not represent a valid state of the system. We illustrate our approach on two real-world case studies, which would be intractable with the original method and are analyzed in seconds with our method.
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