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Volume & Issue no: Volume 3, Issue 6, November - December 2014

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Title:
PRIVACY PRESERVATION AND PUBLIC AUDITING FOR CLOUD DATA USING ASS
Author Name:
Dr. J. SUGANTHI, ANANTHI J, S. ARCHANA
Abstract:
Abstract Cloud computing is a class of network based computing through Internet. Cloud data services stores data in the cloud as well as shares data among many users. The integrity of these cloud data is subjected to reluctance due to failure of either hardware or even software and also human errors as well. Several mechanisms have been designed in order to allow both the data owners as well as the public verifiers to audit cloud data integrity efficiently without retrieving the entire data from the cloud servers. A Third Party Auditor (TPA) will perform integrity checking and the identity of the signer on each block in shared data is kept private from them. In this paper, a privacy-preserving mechanism is designed which supports public auditing on shared data stored in the cloud. In particular, aggregate signatures are used which computes the verification metadata needed to audit the correctness of shared data. With this mechanism, the identity of the owner who signs each data block in shared data is kept private from public verifiers. These public verifiers are able to efficiently verify integrity of shared data without downloading the entire file. In addition, this mechanism can efficiently perform multiple auditing tasks at same time instead of verifying them one by one. Index Terms:- Public auditing, Shared data, Cloud Computing
Cite this article:
Dr. J. SUGANTHI, ANANTHI J, S. ARCHANA , " PRIVACY PRESERVATION AND PUBLIC AUDITING FOR CLOUD DATA USING ASS" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 3, Issue 6, November - December 2014 , pp. 242-247 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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