在测试套件指导下发现云基础设施即代码的最小权限

IF 2 2区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Ryo Shimizu, Yuna Nunomura, Hideyuki Kanuka
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引用次数: 0

摘要

云计算基础架构即代码(IaC)可从源代码自动配置系统的云计算环境,由于其高效、可重复的配置,成为一种重要的实践。在云 IaC 定义(模板)上,开发人员必须仔细管理权限设置,以最大限度地降低网络攻击的风险。为此,IaC 模板上的最小权限(即分配一组必要且足够的权限)被广泛视为最佳实践。然而,对于开发人员来说,发现最小权限可能是一项容易出错的繁重任务。部分原因是在云上执行操作有时隐含地需要其他服务的权限,而这些权限在没有实际执行的情况下很难识别,因此开发人员不得不手动重复执行操作和修改权限。在这项工作中,我们提出了一种自动发现最小权限的方法。我们的方法利用一个测试套件作为最小权限的指标,该套件代表了系统在云上应该实现的目标,并根据测试结果在云上反复进行测试和(重新)配置权限。我们还提出了一种逐步过滤技术,利用云服务/操作的共现和基于聚类的剪枝来有效地排除不必要的权限。我们的实验证明,与传统方法相比,这种过滤方法减少了迭代次数,从而直接影响了发现最小权限的时间和成本。此外,三个案例研究表明,我们的方法可以在实际时间内识别亚马逊网络服务上的最小权限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Test-suite-guided discovery of least privilege for cloud infrastructure as code

Test-suite-guided discovery of least privilege for cloud infrastructure as code

Test-suite-guided discovery of least privilege for cloud infrastructure as code

Infrastructure as code (IaC) for the cloud, which automatically configures a system’s cloud environment from source code, is an important practice thanks to its efficient, reproducible provisioning. On a cloud IaC definition (template), developers must carefully manage permission settings to minimize the risk of cyber-attacks. To this end, least privilege on IaC templates, i.e., the assignment of a necessary and sufficient set of permissions, is widely regarded as a best practice. However, the discovery of least privilege can be an error-prone, burdensome task for developers. This is partially because the execution of an action on the cloud sometimes implicitly requires permissions of other services, and since these are difficult to recognize without actual execution, developers are forced to manually iterate the execution of an action and the modification of permissions. In this work, we present an approach to automatically discover least privilege. Our approach utilizes a test suite, which represents what a system should achieve on the cloud, as an indicator of least privilege, and it iterates testing on the cloud and (re)configuration of permissions on the basis of the test results. We also propose a stepwise filtering technique that utilizes the co-occurrences of cloud services/actions and clustering-based pruning to efficiently rule out unnecessary permissions. Our experiments demonstrate that this filtering reduces the number of iterations compared to naive approaches, which directly affects the time and cost to discover least privilege. Moreover, three case studies show that our approach can identify least privilege on Amazon Web Services within a practical time.

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来源期刊
Automated Software Engineering
Automated Software Engineering 工程技术-计算机:软件工程
CiteScore
4.80
自引率
11.80%
发文量
51
审稿时长
>12 weeks
期刊介绍: This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.
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