PRIVACY-PRESERVING PUBLIC AUDITING FOR REGENERATING-CODE-BASED CLOUD STORAGE

ABSTRACT:

To protect outsourced data in cloud storage against corruptions, adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. Recently, regenerating codes have gained popularity due to their lower repair bandwidth while providing fault tolerance. Existing remote checking methods for regenerating-coded data only provide private auditing, requiring data owners to always stay online and handle auditing, as well as repairing, which is sometimes impractical. In this paper, we propose a public auditing scheme for the regenerating-code-based cloud storage. To solve the regeneration problem of failed authenticators in the absence of data owners, we introduce a proxy, which is privileged to regenerate the authenticators, into the traditional public auditing system model. Moreover, we design a novel public verifiable authenticator, which is generated by a couple of keys and can be regenerated using partial keys. Thus, our scheme can completely release data owners from online burden. In addition, we randomize the encode coefficients with a pseudorandom function to preserve data privacy. Extensive security analysis shows that our scheme is provable secure under random oracle model and experimental evaluation indicates that our scheme is highly efficient and can be feasibly integrated into the regenerating code- based cloud storage.

AIM

To protect outsourced data in cloud storage against corruptions, adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical.

SCOPE

We  focus on the integrity verification problem in regenerating-code-based cloud storage, especially with the functional repair strategy.

EXISTING SYSTEM

Many mechanisms dealing with the integrity of outsourced data without a local copy have been proposed under different system and security models up to now. The most significant work among these studies are the PDP (provable data possession) model and POR (proof of retrievability) model, which were originally proposed for the single-server scenario respectively. Considering that files are usually striped and redundantly stored across multi-servers or multi-clouds, explore integrity verification schemes suitable for such multi-servers or multi clouds setting with different redundancy schemes, such as replication, erasure codes, and, more recently, regenerating codes.

 

DISADVANTAGES:

1. To  hide data loss or corruption and claiming that the files are still correctly stored in the cloud for reputation or monetary reasons.
2.   To implement an efficient protocol to perform periodical verifications of their outsourced data to ensure that the cloud indeed maintains their data correctly.

PROPOSED SYSTEM

In this paper, we propose a public auditing scheme for the regenerating-code-based cloud storage system, where the data owners are privileged to delegate TPA for their data validity checking. To protect the original data privacy against the TPA, we randomize the coefficients in the beginning rather than applying the blind technique during the auditing process. Considering that the data owner cannot always stay online in practice, in order to keep the storage available and verifiable after a malicious corruption, we introduce a semi-trusted proxy into the system model and provide a privilege for the proxy to handle the reparation of the coded blocks and authenticators. To better appropriate for the regenerating-code-scenario, we design our authenticator based on the BLS signature. This authenticator can be efficiently generated by the data owner simultaneously with the encoding procedure. Extensive analysis shows that our scheme is provable secure, and the performance evaluation shows that our scheme is highly efficient and can be feasibly integrated into a regenerating-code-based cloud storage system.

ADVANTAGES

1.  The  large size of the outsourced data and the user’s constrained resource capability, the tasks of auditing and reparation in the cloud can be formidable and expensive for the users
2.  The overhead of  using cloud storage should be minimized as much as possible such that a user does not need to perform too many operations to their outsourced data (in additional to retrieving it)

SYSTEM ARCHITECTURE

  SYSTEM CONFIGURATION:-

HARDWARE REQUIREMENTS:-

·       Processor    -   Pentium –III

·      Speed            -    1.1 Ghz

·      RAM             -    256 MB(min)

·      Hard Disk              -   20 GB

·      Floppy Drive         -    1.44 MB

·      Key Board             -    Standard Windows Keyboard

·      Mouse           -    Two or Three Button Mouse

·      Monitor                 -    SVGA

SOFTWARE REQUIREMENTS:-

·      Operating System          : Windows  7                                  

·      Front End                               : JSP AND SERVLET

·      Database                                : MYSQL

REFERENCE:

Hong Rong ; Huimei Wang Jian Liu Kun Huang “PRIVACY-PRESERVING PUBLIC AUDITING FOR REGENERATING-CODE-BASED CLOUD STORAGE” IEEE Transactions on Information Forensics and Security, VOL 10, ISS 7,MARCH 2015.