A Multi-replica Associated Deleting Scheme in Cloud

Yuanyuan Zhang, Jinbo Xiong, Xuan Li, Biao Jin, Suping Li, Xu An Wang
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引用次数: 7

Abstract

Rapid development of cloud storage services produces a tremendous amount of user data outsourcing to cloud servers. Therefore, it is easy to generate data multi-replica, which is able to improve data availability and users' experience. However, when the management of data is poor, the sensitive information will be disclosed more easily. This may bring serious security and privacy challenges for both user's data and its multi-replica in cloud environment. In order to tackle the above issues, in this paper, we propose a multi-replica associated deleting scheme (MADS) in cloud environment. We first introduce a replica associated model to organize all of data replicas among different cloud servers. Furthermore, we propose the MADS scheme which is consists of data storage algorithm, replica generation algorithm, replica deletion and feedback algorithm. Finally, we employ Amazon S3 to implement MADS and the results indicate that the proposed scheme is available and effective.
云环境下多副本关联删除方案
云存储服务的快速发展产生了大量的用户数据外包给云服务器。因此,易于生成数据的多副本,可以提高数据的可用性和用户体验。然而,当数据管理不善时,敏感信息更容易泄露。这可能会给用户数据及其在云环境中的多副本带来严重的安全和隐私挑战。为了解决上述问题,本文提出了一种云环境下的多副本关联删除方案(MADS)。我们首先引入一个副本关联模型来组织不同云服务器之间的所有数据副本。在此基础上,提出了由数据存储算法、副本生成算法、副本删除算法和反馈算法组成的MADS方案。最后,我们利用Amazon S3实现了MADS,结果表明了该方案的可行性和有效性。
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