Paper Info
Title
A generic integrity verification algorithm of version files for cloud deduplication data storage
Abstract
Data owners’ outsourced data on cloud data storage servers by the deduplication technique can reduce not only their own storage cost but also cloud’s. This paradigm also introduces new security issues such as the potential threat of data lost or corrupted. Data integrity verification is utilized to safeguard these data integrity. However, the cloud deduplication storage only focuses on file/chunk level to store one copy of the same data hosted by different data owners, and is not concerned with the same part of different data, e.g., a series of version files. We propose an integrity verification algorithm of different version files. The algorithm establishes the generic storage model of different version control methods to improve the universality of data verification. Then, the methods of verification tags and proofs generating are improved based on the index pointers corresponding to the storage relationship in the version groups and chained keys. Finally, the random diffusion extraction based on the random data sampling in the version group is proposed to improve the verification efficiency. The results of theoretical and experimental analysis indicate that the algorithm can achieve fast and large-scale verification for different version data.
Year
DOI
Venue
2018
10.1186/s13635-018-0083-x
Eurasip Journal on Information Security
Keywords
Field
DocType
Data integrity verification, Version file storage, Version group, Random diffusion extraction
Data deduplication,Pointer (computer programming),Data verification,Computer science,Computer data storage,Server,Algorithm,Data integrity,Storage model,Cloud computing
Journal
Volume
Issue
ISSN
2018
1
2510-523X
Citations 
PageRank 
References 
0
0.34
14
Authors
5
Name
Order
Citations
PageRank
Guangwei Xu199.18
Miaolin Lai200.34
Jing Li300.34
Li Sun411.36
Xiujin Shi500.68