UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFH06165


Registration ID:
318690

Page Number

980-987

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Title

A Computational Intelligence-Based Cloud Storage Scheme for Privacy Preservation

Abstract

Cloud computing is a kind of computer technology that uses the internet and has progressed considerably in recent years. As the quantity of unstructured data increases at an exponential pace, cloud storage technology is getting more attention and better development. The present storage system, on the other hand, saves all of a user's data completely on cloud servers. To put it another way, consumers' data control may be lost, putting their personal information at danger. Traditional privacy protection techniques usually depend on encryption, however these approaches are ineffective against an assault from inside a cloud server. As a solution to this problem, the authors propose a three-layer storage system or structure based on fog computing. The suggested system may take use of cloud storage while maintaining data security. In addition, the Hash-Solomon coding method is utilized to divide the data or information into separate parts. Then, in addition to storing on a fog server, a small portion of the information may be saved on a local server to preserve privacy. This method, which is based on computational intelligence, can also determine the percentage of the distribution stored in the cloud, fog, and local system. The feasibility of our approach has been shown via hypothetical safety analysis and investigative evaluation, making it a valuable addition to the existing cloud-based storage technology schemes.

Key Words

Cloud Computing, Cloud Storage, Fog Computing, Privacy, Security.

Cite This Article

"A Computational Intelligence-Based Cloud Storage Scheme for Privacy Preservation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.980-987, February-2019, Available :http://www.jetir.org/papers/JETIRFH06165.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Computational Intelligence-Based Cloud Storage Scheme for Privacy Preservation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp980-987, February-2019, Available at : http://www.jetir.org/papers/JETIRFH06165.pdf

Publication Details

Published Paper ID: JETIRFH06165
Registration ID: 318690
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 980-987
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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