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  Published Paper Details:

  Authors

  Prof Aman Kamble,  Prof Snehal Sarangi,  Prof Geetanjali Sharma

  Keywords

Cloud Storage; TPA; Privacy Preserving ; Public Auditing; Integrity, Third party Auditor (TPA), Cloud storage Server (CSS), Cloud service provider (CSP), Proof of Retrievability (PoR), Provable data Possession (PDP), Markel Hash Tree (MHT).

  Abstract


Confidentiality, integrity and auditability have been studied for long in cryptography, and to provide security is the foundation for all modern cryptographic research. In next generation of cloud computing client store data on centralized cloud server may some challenges. This work is focusing on honesty of data stored in cloud data servers. Cloud storage is one of the service provided by Cloud computing in which data is maintained, managed, backed up remotely andmade available to users over a network (typically the Internet). The user is concerned about the integrity of data stored in the cloud as the user�s data can be attacked or modified by outside attacker. Therefore, a new concept called data auditing is introduced which check the integrity of data with the help of an entity called Third Party Auditor (TPA). The purpose of this work is to develop an auditing scheme which is secure, efficient to use and possess the capabilities such as privacy preserving, public auditing, maintaining the data integrity along with confidentiality. Thus the new auditing scheme has been developed by considering all these requirements. It consist of three entities: data owner, TPA and cloud server. The data owner performs various operations such as splitting the file to blocks, encrypting them, generating a hash value for each, concatenating it and generating a signature on it. The TPA performs the main role of data integrity check. It performs activities like generating hash value for encrypted blocks received from cloud server, concatenating them and generates signature on it. It later compares both the signatures to verify whether the data stored on cloud is tampered or not. It verifies the integrity of data on demand of the users. The cloud server is used only to save the encrypted blocks of data.The data integrity verification is done by using a TPA which is allow to check integrity of data periodically on rather than client. When data integrity is lost then client gets information from TPA. Not only checking of data purity also supports data dynamics. In this auditing task observes data insertions, deletions and modifications. This system is skillful of supporting both public auditability and data dynamics. Markel Hash Tree is used to improve block level authentication. In order to handle auditing tasks simultaneously, bilinear aggregate signature is used. This permits TPA to execute auditing simultaneously for many clients. In this dissertation the evaluation of multi user based TPA system is presented.

  Cite this article

  Prof Aman Kamble,  Prof Snehal Sarangi,  Prof Geetanjali Sharma,   "THE ENCRYPTION AND AUDITING SCHEME OF CLOUD DATA BY A THIRD PARTY", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.9, Issue 2, Page No pp.21-24, April 2022, Available at : http://www.ijrar.org/IJRAR1CNP005.pdf  

  IJRAR's Publication Details

  Unique Identification Number - IJRAR1CNP005

  Paper ID - 246690

  Author type - Indian Author

  Page Number(s) - 21-24

  Pubished in - Volume 9 | Issue 2 | April 2022

  DOI (Digital Object Identifier) -   

  No Of Downloads - 385

  Author Country - India, -, -, -, -, Science and Technology

  Publisher Name - IJPUBLICATION | IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138

  E-ISSN 2348-1269, P- ISSN 2349-5138

  Published Paper PDF : - http://www.ijrar.org/papers/IJRAR1CNP005

  Published Paper URL: : - http://ijrar.org/viewfull.php?&p_id=IJRAR1CNP005

  Published Paper PDF Downlaod: - download.php?file=IJRAR1CNP005

  Cite this article

  Prof Aman Kamble,  Prof Snehal Sarangi,  Prof Geetanjali Sharma,   "THE ENCRYPTION AND AUDITING SCHEME OF CLOUD DATA BY A THIRD PARTY", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.9, Issue 2, Page No pp.21-24, April 2022, Available at : http://www.ijrar.org/IJRAR1CNP005.pdf

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