A Data Ownership Privacy Provider Framework in Cloud Computing

Authors(2) :-N. Ambika, Dr. M. Sujaritha

The complementary problem of secure storage of private cloud data has been studied extensively in the literature but cannot usually be applied while the data is in decrypted form for the duration of a computation. Secure multiparty computation and differential privacy are both powerful approaches to privacy preserving cloud computation on decrypted data, but are inapplicable to many real world cloud computations. In particular, jobs submitted to the cloud as arbitrary binary code are difficult to automatically reformulate as secure multiparty computations, and high differential privacy sometimes comes at the expense of highly imprecise, noisy results. In these cases, the level of privacy can sometimes be improved by concealing data ownership, provenance, and/or semantics from the participants in a computation in addition to or instead of anonymizing the data itself.

Authors and Affiliations

N. Ambika
Research Scholar, Bharathiar University, Coimbatore, Tamil Nadu, India
Dr. M. Sujaritha
Associate Professor, Department of CSE, Sri Krishna College of Engineering & Technology, Coimbatore. Tamil Nadu, India

Cloud computing, Cloud security, Data centers, Anonymous Cloud.

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 462-467
Manuscript Number : CSEIT1725101
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

N. Ambika, Dr. M. Sujaritha, "A Data Ownership Privacy Provider Framework in Cloud Computing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.462-467, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725101

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