降低访问控制策略不一致风险的策略

B. Stepien, S. Matwin, A. Felty
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引用次数: 20

摘要

管理访问控制策略是一项复杂的任务。我们认为,许多复杂性是不必要的,主要是由于历史原因。有许多遗留策略规范语言都有某种限制。这些限制迫使策略实现者使用特定的策略编写风格,常常导致不一致。这些不一致的检测和解决已经得到了广泛的研究,并找到了许多解决方案。本文强调了避免不一致性的新可能性,利用了现代语言(如XACML)中规则条件域所允许的表达能力。特别是,我们表明,利用这种表达能力有许多好处——它允许组织大大减少保护公司资产所需的政策和规则的数量;它提供了有关政策的改进意见和摘要;并且它允许增加分析工具的可伸缩性,例如检测不一致的工具和执行审核以验证法规遵从性的工具。在管理公司安全的法规数量持续增长的当前环境中,此类工具变得越来越重要。此外,我们还展示了XACML语言的用户友好表示如何通过提高可读性来促进复杂条件的使用。这种增强的可读性还有一个额外的好处,即允许非技术用户更好地理解其策略的实现。这些因素都有助于降低政策不一致的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategies for Reducing Risks of Inconsistencies in Access Control Policies
Managing access control policies is a complex task. We argue that much of the complexity is unnecessary and mostly due to historical reasons. There are number of legacy policy specification languages that all have limitations of some kind. These limitations have forced policy implementers to use certain styles of writing policies, often resulting in inconsistencies. The detection and resolution of these inconsistencies has been widely researched and many solutions have been found. This paper highlights new possibilities for avoiding inconsistencies, drawing on the expressive power allowed in the condition field of rules in modern languages such as XACML. In particular, we show that making use of this expressive power has many advantages—it allows organizations to considerably reduce the number of policies and rules required to protect company assets; it provides improved views and summaries of related policies; and it allows increased scalability of analysis tools, such as tools that detect inconsistencies and tools that perform audits to verify compliance to regulations. Such tools are increasingly important in the current environment where the number of regulations governing company security continues to grow. In addition, we show how our user-friendly representation for the XACML language facilitates the use of complex conditions by increasing their readability. This increased readability has the additional benefit of allowing non-technical users to better understand the implementation of their policies. These factors all contribute to a lower risk of inconsistencies in policies.
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