UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
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:
JETIR1905H08


Registration ID:
199221

Page Number

48-52

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Title

Privacy Preserving Multi-keyword Search Encrypted using Cloud data Storage

Abstract

Public cloud is now very quick growing trend for storing user’s data. Most of the users now a day’s placing their personal and professional data on the cloud. Cloud computing has won over a lot of interest from different areas since it provides Systematic resource management, Economical cost , Fast deployment, scalability, availability, low cost service over traditional storage solutions. The imaginative in cloud computing has motivated the data owner to deploy their data from local sites to profitable public cloud for enormous elasticity and profitable savings. At the same time secrecy of remotely stored data on untrusted cloud server is big responsibility. In order to diminish these responsibility of sensitive data such as E-mails, reports, personal information are outsourced in encrypted form using encoding system. The security concerns in cloud computing motivate the study on secure keyword search. The search techniques which are used on plain text cannot be used over encrypted data. The existing solutions supports only identical keyword search, semantic search is not supported. As we don’t want to disclose neither keyword from query nor query pattern, we have developed fully privacy preserving system by encrypting search pattern as well as secret key. Indexing has been developed to build an index of keywords from documents. Index will be used to retrieve documents in response to search query by using the principle of keyword matching. This paper has analyzed and implemented Lucene indexing algorithm. Ranking of the results has been developed so as to improve the search result correctness as well as to enrich the user searching experience.

Key Words

Multi-Keyword search, Coordinate Matching, Keywords, Index Generation, Trapdoor

Cite This Article

"Privacy Preserving Multi-keyword Search Encrypted using Cloud data Storage", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.48-52, May-2019, Available :http://www.jetir.org/papers/JETIR1905H08.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

"Privacy Preserving Multi-keyword Search Encrypted using Cloud data Storage", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp48-52, May-2019, Available at : http://www.jetir.org/papers/JETIR1905H08.pdf

Publication Details

Published Paper ID: JETIR1905H08
Registration ID: 199221
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 48-52
Country: jalna, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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