Outsourcing data to remote cloud servers can significantly reduce the managing overhead and storage burden for individuals and enterprises. When the data stored in cloud are no longer needed, assured data deletion is a fundamental requirement to ensure that the sensitive data on the cloud can be safely deleted. Salient features of cloud storage such as virtualization, multi-tenancy, high availability and the platform complexity pose various challenges to the assured data deletion, which need to be addressed. In this article, we investigate the system model, desirable security properties as well as the potential solutions to the issues of assured deletion. We present the techniques used to achieve verifiable deletion and propose several methods which satisfy the timeliness, fine granularity and the verification of deletion at the same time. We consider various scenarios such as assured deletion with data transfer, fine-grained access control and data storage with multiple copies. Implementation results demonstrate the efficiency of the proposed protocols.

中文翻译：

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实现云存储中的可靠数据删除


将数据外包到远程云服务器可以显着减少个人和企业的管理开销和存储负担。当不再需要存储在云端的数据时，确保数据删除是确保云端敏感数据能够安全删除的基本要求。云存储的虚拟化、多租户、高可用性和平台复杂性等显着特征给数据的可靠删除带来了各种挑战，需要解决。在本文中，我们研究了系统模型、理想的安全属性以及确保删除问题的潜在解决方案。我们提出了用于实现可验证删除的技术，并提出了几种同时满足及时性、细粒度和删除验证的方法。我们考虑了各种场景，例如数据传输的保证删除、细粒度的访问控制和多副本的数据存储。实施结果证明了所提出协议的效率。