云验证器:IaaS云的可验证审计服务

Joshua Schiffman, Yuqiong Sun, H. Vijayakumar, T. Jaeger
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引用次数: 39

摘要

云计算已经商品化了计算、存储和网络资源,创建了按需实用程序。尽管这种新模式很有吸引力,但由于云平台缺乏透明度,它的采用受到了阻碍,这使得客户不确定他们的敏感数据和计算是否可以委托给云。虽然加密等技术可以保护客户的静态数据,但云仍然缺乏客户验证其计算是否按预期执行的机制,如果他们在自己的数据中心运行计算,则可以获得这种保证。在本文中,我们介绍了云验证器(CV),这是一个灵活的框架,云供应商可以配置它来为客户提供云监控服务,以验证他们的计算是否按照预期在基础设施即服务(IaaS)云中配置和运行。CV通过云平台构建了从客户到其托管的虚拟机(VM)实例的信任链,使其能够根据VM的加载时和运行时属性的全面视图检查客户指定的需求。此外,CV使云供应商能够提供比传统认证机制响应更快的修复技术。我们为OpenStack云平台构建了一个概念验证CV,其评估表明,单个CV可以使超过20,000个客户同时验证多个属性,而对云应用程序性能的影响很小。因此,CV为云客户提供了一种低开销的方法,以确保他们的实例按照他们的需求运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Verifier: Verifiable Auditing Service for IaaS Clouds
Cloud computing has commoditized compute, storage, and networking resources creating an on-demand utility. Despite the attractiveness of this new paradigm, its adoption has been stymied by cloud platform's lack of transparency, which leaves customers unsure if their sensitive data and computation can be entrusted to the cloud. While techniques like encryption can protect customers' data at rest, clouds still lack mechanisms for customers to verify that their computations are being executed as expected, a guarantee one could obtain if they were running the computation in their own data center. In this paper, we present the cloud verifier (CV), a flexible framework that cloud vendors can configure to provide cloud monitoring services for customers to validate that their computations are configured and being run as expected in Infrastructure as a Service (IaaS) clouds. The CV builds a chain of trust from the customer to their hosted virtual machine (VM) instances through the cloud platform, enabling it to check customer-specified requirements against a comprehensive view of both the VM's load-time and run-time properties. In addition, the CV enables cloud vendors to provide more responsive remediation techniques than traditional attestation mechanisms. We built a proof of concept CV for the OpenStack cloud platform whose evaluation demonstrates that a single CV enables over 20,000 simultaneous customers to verify numerous properties with little impact on cloud application performance. As a result, the CV gives cloud customers a low-overhead method for assuring that their instances are running according to their requirements.
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