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Volume & Issue no: Volume 4, Issue 5(2), September - October 2015

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Title:
Big data privacy-preserved public auditing for shared data in cloud
Author Name:
Gopika Mangalassery, Prof. Manilal D.L
Abstract:
Abstract Cloud storage is common place for share data’s across single users as well as multiple users. Open challenge in this shared data is public auditing while preserving identity privacy. This paper propose the privacy preserving mechanism that allows public auditing on shared data stored in the cloud and how to audit the integrity of shared data in the cloud with dynamic groups [a new user can be added into the group or revoked during data sharing] while preserving identity. In order to audit the integrity of shared data exploit the ring signatures to compute the verification information. With this mechanism, the identity of the signer on each block in shared data is kept private from a third party auditor (TPA),who is still able to verify the integrity of shared data without retrieving the entire file. While cloud is a storage space for huge data, implementing this in hadoop for better performance and big data processing simpler and faster. For auditing the big data parallely batch auditing is implementing using Hadoop. Keywords: Public auditing, Cloud computing, Shared data, Big data.
Cite this article:
Gopika Mangalassery, Prof. Manilal D.L , " Big data privacy-preserved public auditing for shared data in cloud" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 4, Issue 5(2), September - October 2015 , pp. 061-064 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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