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Oruta
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.
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Oruta
- 1. By, KAVYA.P.HEGDE(1AM11IS028) CHARUMATHI.M.N(1AM11IS033) MANASA.D(1AM11IS034) POOJA.M.SHETTY(1AM11IS048) Under the Guidanceof Mr. J Selvin Paul Peter HOD, Dpt Of ISE AMCEC
- 2. Cloud dataservices 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 computingis 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 dataamong 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 schemesupports 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 ViewFile 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 NewFiles 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 PublicAuditing Module Batch Auditing Module Data Dynamics Module
- 16. Public auditingallows 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 dividedin to two parts with Setup phase and Audit phase : Setup Phase Audit Phase
- 18. TPA mayconcurrently 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 alsosupports operations such as INSERT, DELETE & MODIFY It supports data dynamics where user can frequently update the data stored on the cloud
- 20. In ourProject 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.
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