为IaaS云提供多策略支持,以确保数据共享

Ying Fairweather, Dongwan Shin
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引用次数: 7

摘要

基础设施即服务(IaaS)是一种以较低的价格为用户提供存储和计算服务的云服务模型。Gartner最近的一份报告指出,在不久的将来,IaaS将成为所有云服务模型中增长最快的领域,因此可以强烈地设想,多家公司将使用IaaS云在它们之间共享信息。然而,目前IaaS平台上的访问控制机制不具备在解决信息和隐私泄露等安全问题的同时,实现企业间灵活的数据共享的能力。在本文中,我们提出了两个IaaS云参考架构,它们执行云级中国墙安全(CWS)策略,以防止公司之间的信息泄露。新的体系结构还能够支持定制的域级访问控制策略,例如基于角色的访问控制(RBAC)、保护隐私的信息检索和单点登录(SSO)。参考架构是使用Eucalyptus及其数据存储服务Walrus实现的;因此,我们的方法也可以应用于像Amazon S3这样的商业云。性能分析的结果表明,我们的架构是可行的、可伸缩的和高效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards multi-policy support for IaaS clouds to secure data sharing
Infrastructure as a service (IaaS) is a cloud service model that provides storage and computation services for users at a low price. A recent report from Gartner indicates that IaaS will be the fastest growing area among all of the cloud service models in the near future, and thus it is strongly envisioned that multiple companies will use IaaS clouds to share information among them. However, the current access control mechanisms in IaaS platforms do not have the ability to enable flexible data sharing among companies while addressing security problems such as information and privacy leaking. In this paper, we propose two IaaS cloud reference architectures that enforce cloud-level Chinese Wall security (CWS) policy to prevent information leaking among companies. The new architectures are also able to support customized domain level access control policies such as role-based access control (RBAC), privacy-preserving information retrieval, and single sign on (SSO). The reference architectures were implemented using Eucalyptus and its data storage service called Walrus; therefore, our approach can also be applied to commercial clouds like Amazon S3. The result of performance analysis has shown that our architectures are feasible, scalable, and efficient.
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