Efficient Approach for Data Retrievability on Cloud Storage Systems

Authors(3) :-Priya A, Meena T, Devi M

Cloud storage is a model of data storage in which the digital data is stored in logical pools. It allows users to store their data in a remote server to get rid of expensive local storage and management costs and then access data of interest anytime anywhere. We propose an enhanced dynamic proof of retrievability scheme supporting public audit ability and communication-efficient recovery from data corruptions. We split up the data into small data blocks and encode that data block using network coding. To eliminate the communication overhead for small data corruptions within a server, each data block is further encoded. Based on the encoded data blocks, we utilize tree structure to enforce the data sequence for dynamic operations, preventing the cloud service provider from manipulating data block to pass the integrity check in the dynamic scenario. We also analyze for the effectiveness of the proposed construction in defending against attacks during data retrievability.

Authors and Affiliations

Priya A
Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Meena T
Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Devi M
Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India

Data Retrievability, Providing Security, Creating Blocks, Network Encoding

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 408-412
Manuscript Number : IJSRSET1622128
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Priya A, Meena T, Devi M, " Efficient Approach for Data Retrievability on Cloud Storage Systems, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.408-412, March-April-2016.
Journal URL : http://ijsrset.com/IJSRSET1622128

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