CQSTR:使用云容器保护跨租户应用程序

Yan Zhai, Lichao Yin, J. Chase, T. Ristenpart, M. Swift
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引用次数: 20

摘要

云提供商可以极大地提高客户对网络服务的信任:IaaS平台可以隔离服务,这样它们就不会泄露数据,并且可以帮助验证它们的部署是否安全。我们描述了一个名为CQSTR的新系统,它允许客户端验证服务的安全属性。CQSTR提供了一种新的云容器抽象,类似于Linux容器,但适用于IaaS云中的VM集群。云容器强制约束哪些软件可以运行,并控制跨服务边界的数据通信的位置和数量。使用CQSTR, IaaS提供商可以对运行在云中服务的安全属性做出断言。我们研究了CQSTR在Amazon AWS和OpenStack上的实现。使用AWS,我们在虚拟私有云上构建以限制网络访问,在授权机制上构建以限制存储访问。但是,对于AWS,某些安全属性只能通过事后监视审计日志来检查。我们修改了OpenStack来实现完整的CQSTR模型,只做了适度的代码更改。我们将展示如何使用CQSTR构建更安全的数据分析框架PredictionIO、PacketPig和SpamAssassin的部署。在CloudLab的实验中,我们发现CQSTR对应用程序的性能影响接近于零。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CQSTR: Securing Cross-Tenant Applications with Cloud Containers
Cloud providers are in a position to greatly improve the trust clients have in network services: IaaS platforms can isolate services so they cannot leak data, and can help verify that they are securely deployed. We describe a new system called CQSTR that allows clients to verify a service's security properties. CQSTR provides a new cloud container abstraction similar to Linux containers but for VM clusters within IaaS clouds. Cloud containers enforce constraints on what software can run, and control where and how much data can be communicated across service boundaries. With CQSTR, IaaS providers can make assertions about the security properties of a service running in the cloud. We investigate implementations of CQSTR on both Amazon AWS and OpenStack. With AWS, we build on virtual private clouds to limit network access and on authorization mechanisms to limit storage access. However, with AWS certain security properties can be checked only by monitoring audit logs for violations after the fact. We modified OpenStack to implement the full CQSTR model with only modest code changes. We show how to use CQSTR to build more secure deployments of the data analytics frameworks PredictionIO, PacketPig, and SpamAssassin. In experiments on CloudLab we found that the performance impact of CQSTR on applications is near zero.
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