An effective storage management in a twin cloud architecture using an authorized deduplication technique

Rasika V. Gode, R. Dalvi
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引用次数: 2

Abstract

Data deduplication is the technique of reduction in the data which keeps only one physical copy and generates pointers to that copy for referencing other redundant data. To secure the confidentiality of private data throughout deduplication, the convergent cryptography technique is used to encode the information before uploading it onto the general public cloud. In our paper, we've got an inclination to present the deduplication-aware resemblance detection and elimination (DARE) scheme that supports authorization in twin cloud surroundings. This scheme uses a duplicate-adjacency info for likeness detection wherever we've got to consider any 2 information blocks to be similar provided that their respective adjacent information blocks are duplicate. Our proposed system achieves deduplication on encrypted data with minimum overhead and also enhances the security by providing authorization in hybrid cloud environment.
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使用授权的重复数据删除技术,在双云架构中实现有效的存储管理
数据重复删除是一种减少数据的技术,它只保留一个物理副本,并生成指向该副本的指针,以引用其他冗余数据。为了在重复数据删除过程中确保私有数据的机密性,在将信息上传到通用公共云之前,使用融合加密技术对信息进行编码。在本文中,我们倾向于提出支持双云环境下授权的重复数据删除感知相似性检测和消除(DARE)方案。该方案使用重复邻接信息进行相似性检测,无论我们必须考虑任何两个信息块相似,只要它们各自的相邻信息块是重复的。我们提出的系统以最小的开销实现了对加密数据的重复数据删除,并通过在混合云环境中提供授权来增强安全性。
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