安全的云数据存储和检索

B. Thuraisingham, V. Khadilkar, Anu Gupta, Murat Kantarcioglu, L. Khan
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引用次数: 44

摘要

随着万维网的出现以及电子商务应用和社交网络的出现,世界各地的组织每天都会产生大量的数据。如果合作组织能够分享它们的数据,这些数据将对它们更有用。数据共享过程的两个主要障碍是提供公共存储空间和对共享数据的安全访问。在本文中,我们通过将Hive和Hadoop等云计算技术与基于XACML策略的安全机制相结合来解决这些问题,这些安全机制提供了对资源的细粒度访问。我们进一步介绍了一个基于web的应用程序,该应用程序使用这种组合,并允许协作组织安全地存储和检索大量数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure data storage and retrieval in the cloud
With the advent of the World Wide Web and the emergence of e-commerce applications and social networks, organizations across the world generate a large amount of data daily. This data would be more useful to cooperating organizations if they were able to share their data. Two major obstacles to this process of data sharing are providing a common storage space and secure access to the shared data. In this paper we address these issues by combining cloud computing technologies such as Hive and Hadoop with XACML policy based security mechanisms that provide fine-grained access to resources. We further present a web-based application that uses this combination and allows collaborating organizations to securely store and retrieve large amounts of data.
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