This document discusses privacy-preserving public auditing for shared data stored in the cloud. It proposes a mechanism called ORUTA that allows a third party auditor (TPA) to efficiently audit the integrity of shared data in the cloud while preserving the identity privacy of users. The mechanism has two phases - a setup phase and an audit phase. It also supports batch auditing which allows the TPA to concurrently handle multiple auditing tasks, improving efficiency. The mechanism further extends to allow for dynamic operations like insert, delete and modify on the outsourced data.

1. By,
KAVYA.P.HEGDE(1AM11IS028)
CHARUMATHI.M.N(1AM11IS033)
MANASA.D(1AM11IS034)
POOJA.M.SHETTY(1AM11IS048)
Under the Guidance of
Mr. J Selvin Paul Peter
HOD, Dpt Of ISE
AMCEC

2.  Cloud data services stores data in the cloud as well
as shares data among many users.
 Preserving the data in cloud is very difficult.
 To overcome this problem privacy –preserving
mechanism is designed which supports public
auditing on shared data stored in the cloud.

3.  Cloud computing is a class of network based
computing through internet.
 It is a computing in which large groups of remote
servers are networked to allow centralized data
storage and online access to computer services.
 Clouds can be classified as public, private, or hybrid.
 Cloud Computing provides various service models
i.e. PaaS,SaaS,IaaS,DaaS,STaaS,SECaaS ,etc.

4. AUTHOR
NAME
TITLE ADVANTAGES DISADVANTAGES
B. Wang, B. Li
and H. Li
“Knox” : Privacy-
Preserving
Auditing For
Shared Data with
Large groups in
the cloud.
Is able to audit
the integrity
shared data in the
cloud for large
groups
It cannot support
public auditing
G.Ateniese,
R.D.Pietro
Scalable and
Efficient
Provable Data
possession
It supports
partially
dynamic data
operations
It cannot support
public verifiability

5. AUTHOR
NAME
TITLE ADVANTAGES DISADVANTAG
ES
G. Ateniese,
R. Burns,
R. Curtmola,
J. Herring,
L. Kissner
Provable Data
Possession
At Untrusted
Stores
It provides public
verifiability
But it supports
only static data
A.Juels,
B.S Kaliski
Privacy-
Preserving Public
Auditing & Data
Integrity for
Secure Cloud
Storage
Reduces
communication
and computation
It does not
immediately offer
any guarantee on
data integrity and
availability.

6.  Sharing data among multiple users is one of the most
attractive features that motivates the cloud storage.
 Unique problem aroused during the process of
public auditing for the shared data in the cloud
is how to preserve identity privacy from the TPA.
 Public auditability allows an external party other
than the user to verify the correctness of remotely
stored data

7. Disadvantages
 Data Integrity
 Encryption
 Integrity Verification
 Data Redundancy

8.  Our scheme supports an external auditor to audit
user’s outsourced data in the cloud.
 Achieves batch auditing where multiple delegated
auditing tasks from different users can be performed
simultaneously by the TPA.
 Public verifier can verify the integrity of the shared
data without retrieving the entire data.

9. Advantages
 Public Auditability
 Storage Correctness
 Privacy Preserving
 Batch Auditing
 Light Weight

10.  Operating system: Windows 7
 Coding Language : ASP .NET with C#
 Data Base : SQL Server 2008 R2
 Tool: VISUAL STUDIO 2010

11.  Processor – Pentium –IV
 Speed – 1.1 GHz
 RAM – 512 MB(min)
 Hard Disk – 40 GB
 Key Board – Standard Windows Keyboard
 Monitor – LCD/LED

13. View Notification
Alert
File Upload
View File Blocks
Upload to Cloud
View all Alerts
Download
Files
TPA
ADMIN
OWNERAllow Owner Files
Modify Files
Update Files
File Verification

14. OWNER TPA
CLOUD
ADMIN
View New Files
Upload To Cloud
View New Files
Allow New Files
View Files
View File Alerts
All File Alerts
File Upload
Download Files
Download Files
Update Files

15.  Privacy-Preserving Public Auditing Module
 Batch Auditing Module
 Data Dynamics Module

16.  Public auditing allows TPA along with the User to check the
integrity of the data stored on a cloud .
 TPA can audit the data and hence cloud data privacy is
maintained. This includes four steps
• Keygen
• Singen
• GenProof
• VerifyProof

17. It is divided in to two parts with Setup phase and
Audit phase :
 Setup Phase
 Audit Phase

18.  TPA may concurrently handle multiple
auditing delegations upon different user’s
requests.
The individual auditing of these tasks for TPA
can be tedious and very inefficient.
Batch auditing also greatly reduces the
computation cost on the TPA side.

19.  It also supports operations such as INSERT,
DELETE & MODIFY
 It supports data dynamics where user can
frequently update the data stored on the cloud

20.  In our Project we proposed ORUTA, the first
Privacy Preserving Public Auditing Mechanism for
shared data in the cloud.
 To improve the Efficiency of verification for multiple
auditing tasks we further extend our mechanism to
support batch auditing.

21.  C. Wang, Q. Wang, K. Ren, and W. Lou, “Ensuring Data Storage
Security in Cloud Computing,” in Proc. IEEE/ACM International
Workshop on Quality of Service (IWQoS), 2009, pp. 1–9.
 G. Ateniese, R. Burns, R. Curtmola, J. Herring, L. Kissner, Z.
Peterson, and D. Song, “Provable Data Possession at Untrusted
Stores,” in Proc. ACM Conference on Computer and
Communications Security (CCS), 2007, pp. 598–610.
 C. Wang, Q. Wang, K. Ren, and W. Lou, “Privacy-Preserving Public
Auditing for Data Storage Security in Cloud Computing,” in Proc.
IEEE International Conference on Computer Communications
(INFOCOM), 2010, pp. 525–533.