Sensitive Cloud Data Deduplication with Data Dynamics

Yan Wang; Ying Liu; Chao Ling Li

doi:10.4028/www.scientific.net/AMM.556-562.6236

Paper Titles

The Survey for Ontology Matching
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Merkle Hash Tree Based Deduplication in Cloud Storage
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Investigations of the Energy-Saving Technology of a Cloud Computing Data Center
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Systematic Analysis of Coal Miners’ Safety Behavior Based on System Dynamics Model
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Sensitive Cloud Data Deduplication with Data Dynamics
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Ubackup: An Easy Way to Build a High-Efficient Private Cloud Storage System
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Simulation on the Optimized Scheduling of Multi-Tenant Software under Cloud Computing Environment
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Issues and Current Solutions of Mobile Cloud Computing
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Method of Locating Anomaly Source in Software System Based on Dendritic Cell Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Sensitive Cloud Data Deduplication with Data...

Sensitive Cloud Data Deduplication with Data Dynamics

Abstract:

To solve the confliction of data encryption and deduplication, a hMAC-Dedup scheme based on homomorphic MAC is proposed. In the scheme, every file is encrypted by the block level encryption and a tag is generated from each encrypted block. In the PoW (Proofs of oWnership) protocol, homomorphic MAC is used to check whether the file to store is real, by operating on the file’s encrypted blocks and pre-computed tags. The hMAC-Dedup can avoid the security shortcomings brought by hash-as-a-proof and provide encryption protection. It is also extended to support data dynamics, which includes block modification, insertion and deletion.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

6236-6240

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.6236

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Cite this paper

Online since:

May 2014

Authors:

Yan Wang*, Ying Liu, Chao Ling Li

Keywords:

Cloud Storage, Data Confidentiality, Data Dynamics, Deduplication, Homomorphic MAC

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* - Corresponding Author

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