UGC Approved Journal no 63975(19)

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

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1904D16


Registration ID:
205918

Page Number

112-117

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Title

AN ENHANCED PRIVACY PRESERVING SEARCH USING TBMSM FOR MULTI DATA PROVIDERS IN THE CLOUD

Abstract

With the advancement of distributed storage, more information proprietors are slanted to redistribute their information to cloud administrations. For protection concerns, touchy information ought to be scrambled before re-appropriating. There are different accessible encryption plans to guarantee information accessibility. Be that as it may, the current pursuit plans give little consideration to the productivity of information clients' inquiries, particularly for the multi-proprietor situation. In this paper, we proposed a tree-based positioned multi-catchphrase scan conspire for different information proprietors. In particular, by thinking about a lot of information in the cloud, we use the TF IDF model to build up a multi catchphrase hunt and return the top-k positioned list items. To empower the cloud servers to play out a protected hunt without knowing any delicate information (e.g., catchphrases and trapdoors), we build a novel security safeguarding look convention dependent on the bilinear mapping. To accomplish an effective pursuit, for every datum proprietor, a tree-based file scrambled with an added substance request and protection saving capacity family is developed. The cloud server would then be able to consolidate these files adequately, utilizing the profundity first pursuit calculation to locate the relating les. At long last, the thorough security examination demonstrates that our plan is secure, and the execution investigation shows its adequacy and proficiency.

Key Words

AN ENHANCED PRIVACY PRESERVING SEARCH USING TBMSM FOR MULTI DATA PROVIDERS IN THE CLOUD

Cite This Article

"AN ENHANCED PRIVACY PRESERVING SEARCH USING TBMSM FOR MULTI DATA PROVIDERS IN THE CLOUD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.112-117, April-2019, Available :http://www.jetir.org/papers/JETIR1904D16.pdf

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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

"AN ENHANCED PRIVACY PRESERVING SEARCH USING TBMSM FOR MULTI DATA PROVIDERS IN THE CLOUD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp112-117, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D16.pdf

Publication Details

Published Paper ID: JETIR1904D16
Registration ID: 205918
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 112-117
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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