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Adaptive data management for self-protecting objects in cloud computing systems

机译:用于云计算系统中自我保护对象的自适应数据管理

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摘要

While Cloud data services are a growing successful business and computing paradigm, data privacy and security are major concerns. One critical problem is to ensure that data owners' policies are honored, regardless of where the data is physically stored and how often it is accessed, and modified. This scenario calls for an important requirement to be satisfied. Data should be managed in accordance to owners' preferences, Cloud providers service agreements, and the local regulations that may apply. In this work we propose innovative policy enforcement techniques for adaptive sharing of users' outsourced data. We introduce the notion of autonomous security-aware objects, that by means of object-oriented programming techniques, encapsulate sensitive resources and assure their protection. Our evaluation demonstrates that our approach is effective.
机译:尽管云数据服务是一种日益成功的业务和计算范例,但数据隐私和安全性仍是主要问题。一个关键问题是,无论数据实际存储在何处以及访问和修改的频率如何,都要确保遵守数据所有者的策略。这种情况要求满足一个重要的要求。数据应根据所有者的首选项,云提供商的服务协议以及可能适用的本地法规进行管理。在这项工作中,我们提出了创新的策略执行技术,用于自适应共享用户的外包数据。我们介绍了自主安全意识对象的概念,该概念通过面向对象的编程技术来封装敏感资源并确保对其进行保护。我们的评估表明我们的方法是有效的。

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