Enhance Data Integrity For Data Storage In Cloud Computing
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Received date: May 31, 2018
Accepted date: May 31, 2018
Published date: May 31, 2018
https://doi.org/10.14419/ijet.v7i2.32.13529
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Data Security, Data integrity, Advance encryption standard (AES), Merkle-Hash Tree, HOMOMORPHIC ALGORITHM. -
Abstract
In this paper, a well secured and effective AES based framework is proposed for proposed for evaluating individual records put away at the untrusted server. The gadget guarantees the of certainties respectability and accessibility. The gadget bolsters open reviewing with the guide of using TPA and privateness holding by a method for not releasing the data to TPA amid trustworthiness check system. Through regular respectability checking, the machine guarantees records ownership at a remote server.
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References
[1] http://www.iosrjournals.org/iosr-jce/papers/Vol19-issue3/Version-5/E1903052327.pdf
[2] http://paper.ijcsns.org/07_book/201506/20150615.pdf
[3] http://ceur-ws.org/Vol-1366/paper13.pdf
[4] Y. Deswarte, J. Quis quarter, and A. Saidane, “Remote integrity checkingâ€, In Proc. of Conference on Integrity and Internal Control in Information Systems (IICIS’03), November 2003.
[5] Data and infrastructure security auditing in cloud computing environments by Hassan Rasheed of Taif University Deanship of Information Technology, Saudi Arabia.
[6] Improving Data Integrity for Data Storage Security in Cloud Computing by Poonam M. Pardeshi, Prof. Bharat Tidke University of Pune, Flora Institute of Technology, Pune, Maharashtra, India
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How to Cite
Shiva Krishna, M., D, S., & Triveda.B, A. (2018). Enhance Data Integrity For Data Storage In Cloud Computing. International Journal of Engineering and Technology, 7(2.32), 68-70. https://doi.org/10.14419/ijet.v7i2.32.13529Received date: May 31, 2018
Accepted date: May 31, 2018
Published date: May 31, 2018