International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
www.ijaiem.org

Call for Paper, Published Articles, Indexing Infromation Optimized Cryptonite System for Secure Data Storage on Cloud using Merkle Hash Tree, Authors : Anjali Almale, Prof. Y. B. Gurav and Prof. S. V. Phulari, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 3, Issue 6, June 2014

Title:
Optimized Cryptonite System for Secure Data Storage on Cloud using Merkle Hash Tree
Author Name:
Anjali Almale, Prof. Y. B. Gurav and Prof. S. V. Phulari
Abstract:
Abstract Cloud storage has become more popular for storing and sharing files across multiple users. However many of security threats, may results into integrity of data and its security issues. In this paper, we propose secure and performant data storage on cloud is known as cryptonite In addition to this design, we are implementing Merkle Hash Tree algorithm with which we are trying to improve data integrity as well as trying to enhance the effective bandwidth. Here, we have analyzed various mechanisms to ensure reliable data storage using cloud services. It mainly focuses on the way of providing computing resources in the form of services rather than a product and utilities are provided to users over internet. In this paper, the architecture for a secure data repository service is presented and will be designed on top of a public Cloud infrastructure .Our repository model will allow1 users to securely store and share their data on the Cloud without giving access of the plain text not only to unauthorized users but also to the Cloud storage provider and the repository itself. Keywords: — Cloud Storage System (CSS), Cryptonite technology, IAAS, Merkle Hash Tree (MHT), PAAS, SAAS.
Cite this article:
Anjali Almale, Prof. Y. B. Gurav and Prof. S. V. Phulari , " Optimized Cryptonite System for Secure Data Storage on Cloud using Merkle Hash Tree " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 6, June 2014 , pp. 149-154 , ISSN 2319 - 4847.
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