信息流控制以保护云中的数据

F. Alqahtani, Salahaldeen Duraibi, Predrag T. Tosic, Frederick T. Sheldon
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引用次数: 1

摘要

对于考虑使用云服务来存储其机密的业务关键型数据的组织来说,数据安全仍然是一个主要问题。在本文中,我们研究了如何在云中使用信息流控制来增强企业的信心,从而使他们能够安全可靠地采用云解决方案来满足他们的数据存储需求。我们将讨论如何将不同的技术与CloudMonitor工具一起使用,以确保云中的数据得到保护。然后,我们概述了集中式和分散式信息流控制系统是如何运作的,以及每种方法的比较优势和劣势。我们的分析表明,CloudMonitor可以通过使用分散的信息流控制来实现更好的数据安全性。然后,我们讨论了应用于监控云中的数据的不同分散信息流跟踪工具。CloudMonitor使云服务的消费者和提供商能够就可接受的安全策略及其实现达成一致,以确保云中的数据存储安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information Flow Control to Secure Data in the Cloud
Data security remains a major concern for organizations considering the use of cloud services to store their confidential, business-critical data. In this paper, we investigate how information flow control can be used in the cloud to enhance the confidence of enterprises, so they can safely and securely adopt cloud solutions for their data storage needs. We discuss how different techniques can be used with the CloudMonitor tool to guarantee the protection of data in the cloud. We then give an overview of how centralized and decentralized information flow control systems operate, and the comparative advantages and disadvantages of each approach. Our analysis suggests that CloudMonitor can achieve better data security with the use of decentralized information flow control. We then discuss different decentralized information flow tracking tools applied to monitoring data in the cloud. CloudMonitor enables the consumers and the providers of cloud services to agree on acceptable security policies as well as their implementation, to ensure secure data storage in the cloud.
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