涉及云的数据隐私问题

S. Srinivasan
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引用次数: 4

摘要

云计算由于其诸多优点而在今天得到了广泛的应用。早期关注的问题之一是安全性,多项研究表明,云服务的使用大大增强了云安全性。由于云服务提供商能够提供高级功能,组织能够增强安全性。为云服务的所有用户提供高端资源,需要对业务流程进行调整。本文的主旨是表明,当业务流程涉及到云的使用时,就有可能失去隐私。我们将在本文中广泛地讨论这方面,并提出一些保护个人和组织隐私的解决方案。其中一个方面涉及在云中使用大数据。我们将指出使用云进行大容量存储和处理多个数据源的好处。大数据不仅涉及访问来自多个来源的大量数据,还涉及将它们结合起来得出结论的能力。当某一特定来源收集的数据是可用的,它可能不会侵犯个人隐私。我们必须根据从多个来源获得的数据量重新识别个人的能力来看待这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data privacy concerns involving cloud
Cloud Computing is in widespread use today because of its many benefits. One of the early concerns was security and it has been shown in multiple studies that cloud security is significantly enhanced by the use of cloud service. Organizations are able to enhance security because of the advanced features that a cloud service provider is able to provide. The availability of high-end resources for all users of cloud services requires making adjustments to business processes. The main thrust of this paper is to show that when business processes involve the use of cloud then there is the potential for the loss of privacy. We will address this aspect extensively in this paper and suggest some solutions to preserve privacy of individuals and organizations. One aspect of this involves the use of Big Data in the cloud. We will point out that the benefits of using the cloud for large volume storage and handling multiple sources of data. Big Data involves not only having access to a vast collection of data from multiple sources but also the ability to combine them to draw conclusions. When data collected by a particular source alone is available, it may not violate the privacy of individuals. We have to view this in light of the ability to re-identify individuals based on the volume of data available from multiple sources.
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