Privacy Preserving and Dynamic Auditing for Outsourced Storages in Cloud

Authors(2) :-Satish Shelar, Prof. S. Y. Raut

In cloud storage users can remotely store their data without the burden of local data storage and maintainance. Data security and data integrity for the outsourced data in the cloud becomes difficult and facing different types of problems. Fault tolerance is also necessary for security of the data in the cloud. Regenerating code is the concept which got the importance because of their lower bandwidth while providing fault tolerance. Last remote checking methods for regenerating coded data provides just private auditing which keeps data holders always online because of that auditing as well as repairing becomes difficult. In this paper we are going to develop a dynamic auditing system for the regenerating code based secure cloud storage. In order to develop the solution for the regeneration problem of failed authenticators when data holders are not present, we make a proxy, which is used to regenerate the authenticators, in the traditional public auditing scheme. Thus our system can almost release data holders from online load. Our system gives more efficiency and can be possibly combined with the regenerating secure cloud based storage.

Authors and Affiliations

Satish Shelar
Computer Engineering, Pravara Rural Engineering College, Loni, Maharashtra, India
Prof. S. Y. Raut
Computer Engineering, Pravara Rural Engineering College, Loni, Maharashtra, India

Cloud Storage, Regenerating Code, Public Auditing, Dynamic Auditing, Privacy Preserving, Proxy

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 331-335
Manuscript Number : IJSRSET162465
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Satish Shelar, Prof. S. Y. Raut, " Privacy Preserving and Dynamic Auditing for Outsourced Storages in Cloud, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.331-335, July-August-2016. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET162465

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