Dragonfruit: Cloud Provider-Agnostic Trustworthy Cloud Data Storage and Remote Processing

Eric Rozier, S. Zonouz, David Redberg
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引用次数: 3

Abstract

Trustworthy cloud services require practical secure storage and data processing techniques that enable end-users to upload sensitive data and perform computations remotely without having to first download the data. In this paper, we present Dragon fruit, a cloud provider-agnostic searchable cloud data storage solution, that allows the utilization of several existing cloud providers, and the execution of search queries over encrypted data by customers, using unmodified cloud infrastructures. In particular, Dragon fruit makes use of filename search capabilities that most existing cloud providers support to embed searchable data within the cloud. Dragon fruit supports queries using complex Boolean expressions on structured data formats such as JSON. Our evaluation on a real-world test-bed show that Dragon fruit is able to work with several cloud providers such as Google-Drive and Drop box simultaneously and is able to respond to search requests within a few seconds proving a reasonable performance overhead for practical usage.
火龙果:与云提供商无关的可信云数据存储和远程处理
值得信赖的云服务需要实用的安全存储和数据处理技术,使最终用户能够上传敏感数据并远程执行计算,而无需先下载数据。在本文中,我们提出了龙果,一个与云提供商无关的可搜索云数据存储解决方案,它允许使用几个现有的云提供商,并允许客户使用未修改的云基础设施对加密数据执行搜索查询。特别是,火龙果利用大多数现有云提供商支持的文件名搜索功能,在云中嵌入可搜索的数据。火龙果支持对JSON等结构化数据格式使用复杂布尔表达式进行查询。我们在实际测试平台上的评估表明,火龙果能够同时与多个云提供商(如Google-Drive和Drop box)一起工作,并且能够在几秒钟内响应搜索请求,这证明了实际使用的合理性能开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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