云需要跨层数据处理注解

Martin Henze, R. Hummen, Klaus Wehrle
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引用次数: 34

摘要

如今,越来越多的服务提供商利用云计算范式来有效地为私人用户、企业和政府提供服务。然而,虽然云计算允许透明地扩展后端功能(如计算和存储),但当涉及敏感或与隐私相关的数据时,隐含的资源分布式共享具有严重的影响。这些隐私问题主要源于云服务的后端提供商及其专用数据处理流程的不透明性。同样,后端提供商无法确定在云中存储或处理的数据的敏感性。因此,他们没有办法自动遵守底层的隐私规则和合同。随着云计算范式进一步向联邦云环境发展,不同云平台的预期集成为现有的不透明性又增加了一层。在本文中,我们讨论了如何克服这些现有的和正在出现的数据处理不透明以及随之而来的隐私问题的初步想法。为此,我们建议在数据离开数据所有者的控制边界并传输到云环境时,用敏感性信息对数据进行注释。这允许在云计算架构的各个层之间发送隐私属性的信号,并使不同的涉众能够做出相应的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Cloud Needs Cross-Layer Data Handling Annotations
Nowadays, an ever-increasing number of service providers takes advantage of the cloud computing paradigm in order to efficiently offer services to private users, businesses, and governments. However, while cloud computing allows to transparently scale back-end functionality such as computing and storage, the implied distributed sharing of resources has severe implications when sensitive or otherwise privacy-relevant data is concerned. These privacy implications primarily stem from the in-transparency of the involved backend providers of a cloud-based service and their dedicated data handling processes. Likewise, back-end providers cannot determine the sensitivity of data that is stored or processed in the cloud. Hence, they have no means to obey the underlying privacy regulations and contracts automatically. As the cloud computing paradigm further evolves towards federated cloud environments, the envisioned integration of different cloud platforms adds yet another layer to the existing in-transparencies. In this paper, we discuss initial ideas on how to overcome these existing and dawning data handling in-transparencies and the accompanying privacy concerns. To this end, we propose to annotate data with sensitivity information as it leaves the control boundaries of the data owner and travels through to the cloud environment. This allows to signal privacy properties across the layers of the cloud computing architecture and enables the different stakeholders to react accordingly.
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