一种可能的保护隐私的云数据存储解决方案

Mitch Paul Mithun, C. Collberg, Derek E. Bambauer
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引用次数: 9

摘要

尽管云数据存储具有经济优势,但许多公司尚未迁移到该技术。虽然金融行业的公司将数据安全作为一个原因,但其他行业的公司则将隐私问题作为不愿这么做的原因。在本文中,我们提出了一种可能的解决方案,该方案受到HIPAA数据匿名化安全港方法的启发。所建议的技术涉及使用唯一标识数据的散列函数,然后跨多个云提供商拆分数据。我们认为,这种“足够好”的保护隐私的云数据存储方法在技术上是可行的,在经济上也是有利的。采用这种方法可以解决云提供商意外或故意泄露数据造成的隐私损害问题。“足够好”的方法将使企业能够将其数据转移到云中,而不会产生隐私风险,使他们能够实现云数据存储按使用付费模式提供的经济优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Possible Solution for Privacy Preserving Cloud Data Storage
Despite the economic advantages of cloud data storage, many corporations have not yet migrated to this technology. While corporations in the financial sector cite data security as a reason, corporations in other sectors cite privacy concerns for this reluctance. In this paper, we propose a possible solution for this problem inspired by the HIPAA safe harbor methodology for data anonymization. The proposed technique involves using a hash function that uniquely identifies the data and then splitting data across multiple cloud providers. We propose that such a "Good Enough" approach to privacy-preserving cloud data storage is both technologically feasible and financially advantageous. Following this approach addresses concerns about privacy harms resulting from accidental or deliberate data spills from cloud providers. The "Good Enough" method will enable firms to move their data into the cloud without incurring privacy risks, enabling them to realize the economic advantages provided by the pay-per-use model of cloud data storage.
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