UGC Approved Journal no 63975

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

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRC006224


Registration ID:
183802

Page Number

1301-1305

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Title

MULTI KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD DATA

Abstract

The project solves and defines the difficulty of multi-keyword ranked search over encrypted cloud data (MRSE) while preserving firm system wise privacy in the cloud computing hypothesis. Hence to protect privacy of the data, before privacy data also outsourced to the cloud data that has delicate to be encrypted, which make the valuable data utilization service not a easy task. Even though searchable encryption method allows users to firmly search over encrypted data all the way through the keywords, they carry only search i,e Boolean. They are not yet enough to meet the utilization of the data successfully because there is instinctively demanded by large number of data files and users located in cloud. Hence it is required to allow multiple keywords in the search request and return documents in the order of their significance to the keywords. The keyword i,e Boolean of the search technique only produce the unsorted result. An valuable method proposed for this difficult problem is privacy conserving search over encrypted cloud data. After the data has been encrypted and outsourced by the data owner this method establishes a set of privacy desires for secure cloud data utilization system during splitting the cloud data and storing the chunk data in different servers. Among different multi-keyword aetiology, this method chooses the well-organized similarity measure of “coordinate matching” for searching technique.

Key Words

Cloud, Hypothesis, Boolean, Chunk data.

Cite This Article

"MULTI KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1301-1305, July-2018, Available :http://www.jetir.org/papers/JETIRC006224.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

"MULTI KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1301-1305, July-2018, Available at : http://www.jetir.org/papers/JETIRC006224.pdf

Publication Details

Published Paper ID: JETIRC006224
Registration ID: 183802
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 1301-1305
Country: NELLORE, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162


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