Assured Data Storage: A Divide and Secure Multipart Algorithm for Cloud Storage
Keywords:
Cloud Computing, Multi Clouds, Multipart Secret Sharing Algorithm, Threshold, ReconstructAbstract
This paper details about the single cloud and multi clouds security systems using MultiPart Secret Sharing Algorithm using Shamir�s Secret and RSA algorithm and addresses possible solutions and methodology. Main focus of in this paper is on use of multi clouds and data security and reduces security risks and affects the cloud computing users using Multipart Secret sharing algorithm. It is a form of secret sharing, where a secret is divided into parts, which is giving each participant its own unique part, where some of the parts are required in order to reconstruct the secret. This algorithm is used where any �k� the parts are sufficient to reconstruct the original secret message, helping in Enhanced Security measures.
References
Md Kausar Alam, Sharmila Banu K, “An Approach Secret Sharing Algorithm in Cloud Computing Security over Single to Multi Clouds.”, International Journal of Scientific and Research Publications, Volume 3, Issue 4, April 2013 1 ISSN 2250-3153.School of Computing Science and Engineering, VIT University, Vellore, Tamil Nadu, India.
Carlos Goncalves, Luis Assuncao, Jose C,“Data Analytics in the Cloud with Flexible MapReduce Workflows”, IEEE 4th International Conference on Cloud Computing Technology and Science.
Mandeep Kaur and Manish Mahajan,“Implementing various encryption algorithms to enhance the data security of cloud in cloud computing”, VSRD International Journal of Computer Science &Information Technology, Chandigarh Engineering College, Mohali, Punjab, INDIA, Vol. 2 No. 10 October 2012 / 831ISSN No. 2231-2471 (Online), 2319-2224 (Print)
SafeGuard Encryption for Cloud Storage.
Available at http://en.wikipedia.org/wiki/Shamir's_Secret_Sharing.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
