Secure Auditing and Deduplicating Data in Cloud

Main Article Content

K.Sudhamani
P.Rama Rao
R.Vara Prasad

Abstract

The fame and extensive use of Cloud have brought huge ease for data sharing and data storage. The data sharing with a big number of participants take into account issuers like data integrity, efficiency and privacy of the owner for data. In cloud storage services one critical test is to handle rising volume of data storage in cloud. To create data management more scalable in cloud computing field, deduplication a well-known method of data compression to reduce duplicate copies of duplicate data in storage over a cloud. Even if data deduplication brings a lot of advantages in security and privacy concern occur as users’ confidential data are liable to both attacks insider and outsider. A convergent encryption method imposes data privacy while making deduplication possible. Traditional deduplication systems based on convergent encryption even though offer confidentiality but do not maintain the duplicate check on basis of differential rights. This paper present, the plan of approved data deduplication planned to guard data security by counting discrepancy privileges of users in the duplicate check. Deduplication systems, users with differential privileges are added measured in duplicate check besides the data itself. To maintain stronger security the files are encrypted with differential privilege keys. Users are only permitted to carry out the copy check for files marked with the matching privileges to access. The user can confirm their occurrence of file after deduplication in cloud with the help of a third party auditor by auditing the data. Additional auditor audits and confirms the uploaded file on time. As a result, this paper generates advantages to both the storage provider and user by deduplication system and auditing method correspondingly.

Article Details

How to Cite
[1]
K.Sudhamani, P.Rama Rao, and R.Vara Prasad, “Secure Auditing and Deduplicating Data in Cloud”, Int. J. Comput. Eng. Res. Trends, vol. 3, no. 1, pp. 1–5, Jan. 2016.
Section
Research Articles

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