ORUTA: PRIVACY-PRESERVING PUBLIC AUDITING FOR SHARED DATA IN THE CLOUD
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With cloud storage services, it is commonplace for data to be not only stored in the cloud, but also shared across multiple users. However, public auditing for such shared data — while preserving identity privacy — remains to be an open challenge. In this paper, we propose the first privacy-preserving mechanism that allows public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute the verification information needed to audit the integrity of shared data. With our 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 publicly verify the integrity of shared data without retrieving the entire file. Our experimental results demonstrate the effectiveness and efficiency of our Proposed mechanism when auditing shared data.
We believe that sharing data among multiple users is perhaps one of the most engaging features that motivates cloud storage. A unique problem introduced during the process of public auditing for shared data in the cloud is how to preserve identity privacy from the TPA, because the identities of signers on shared data may indicate that a particular user in the group or a special block in shared data is a higher valuable target than others.
DISADVANTAGES OF EXISTING SYSTEM:
After performing several auditing tasks, some private and sensitive information may reveal to the TPA.
- On one hand, most of the blocks in shared file are signed by A, which may indicate that A is a important role in this group, such as a group leader.
- On the other hand, the one block is frequently modified by different users.
We propose ORUTA (One Ring to Rule Them All), a new privacy preserving public auditing mechanism for shared data in an untrusted cloud. In ORUTA, we utilize ring signatures to construct homomorphic authenticators, so that the third party auditor is able to verify the integrity of shared data for a group of users without retrieving the entire data — while the identity of the signer on each block in shared data is kept private from the TPA. In addition, we further extend our mechanism to support batch auditing, which can audit multiple shared data simultaneously in a single auditing task. Meanwhile, ORUTA continues to use random masking to support data privacy during public auditing, and leverage index hash tables to support fully dynamic operations on shared data.
ADVANTAGES OF PROPOSED SYSTEM:
- We only consider how to audit the integrity of shared data in the cloud with static groups. It means the group is pre-defined before shared data is created in the cloud and the membership of users in the group is not changed during data sharing.
- The Original user is responsible for deciding who is able to share her data before outsourcing data to the cloud.
- The cloud with dynamic groups — a new user can be added into the group and an existing group member can be revoked during data sharing.
üProcessor - Pentium –IV
ü Speed - 1.1 Ghz
ü RAM - 512 MB(min)
ü Hard Disk - 40 GB
ü Key Board - Standard Windows Keyboard
ü Mouse - Two or Three Button Mouse
ü Monitor - LCD/LED
- Operating system : Windows XP.
- Coding Language : ASP .Net
- Data Base : SQL Server 2005
- Tool : VISUAL STUDIO 2008.
Boyang Wang, Baochun Li, and Hui Li, “ORUTA: PRIVACY-PRESERVING PUBLIC AUDITING FOR SHARED DATA IN THE CLOUD” IEEE TRANSACTIONS ON Cloud Computing, VOL 1,ISS 2, FEBRAURY 2013