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Improving Zero Knowledge in Cloud Storage Auditing System

B. Subasri1 , P. Vijayalakshmi2 , P. Yurega3 , E. Revathi4

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-3 , Page no. 204-207, Mar-2014

Online published on Mar 30, 2014

Copyright © B. Subasri, P. Vijayalakshmi, P. Yurega, E. Revathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: B. Subasri, P. Vijayalakshmi, P. Yurega, E. Revathi, “Improving Zero Knowledge in Cloud Storage Auditing System,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.3, pp.204-207, 2014.

MLA Style Citation: B. Subasri, P. Vijayalakshmi, P. Yurega, E. Revathi "Improving Zero Knowledge in Cloud Storage Auditing System." International Journal of Computer Sciences and Engineering 2.3 (2014): 204-207.

APA Style Citation: B. Subasri, P. Vijayalakshmi, P. Yurega, E. Revathi, (2014). Improving Zero Knowledge in Cloud Storage Auditing System. International Journal of Computer Sciences and Engineering, 2(3), 204-207.

BibTex Style Citation:
@article{Subasri_2014,
author = {B. Subasri, P. Vijayalakshmi, P. Yurega, E. Revathi},
title = {Improving Zero Knowledge in Cloud Storage Auditing System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2014},
volume = {2},
Issue = {3},
month = {3},
year = {2014},
issn = {2347-2693},
pages = {204-207},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=97},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=97
TI - Improving Zero Knowledge in Cloud Storage Auditing System
T2 - International Journal of Computer Sciences and Engineering
AU - B. Subasri, P. Vijayalakshmi, P. Yurega, E. Revathi
PY - 2014
DA - 2014/03/30
PB - IJCSE, Indore, INDIA
SP - 204-207
IS - 3
VL - 2
SN - 2347-2693
ER -

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Abstract

Usage of cloud storage user can store the data tenuously and have the benefit of on demand high quality applications and services from a shared pool of configurable computing resources without the burden of local data storage and maintenance. Utilize the random masking to guarantee that the EA would not learn any knowledge about the data content stored on the cloud server during the efficient auditing process, which not only eliminates the burden of cloud user from the tedious and possibly expensive auditing task, but also alleviates the users� fear of their outsourced data leakage

Key-Words / Index Term

Zero Knowledge, Data Storage, Public Auditing, Cloud Computing, Batch Auditing

References

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