INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
PRIVACY PRESERVING MULTI KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD DATA
Authors Name:
C.SUNDHARI
, P.KARTHIK
Unique Id:
IJSDR2006101
Published In:
Volume 5 Issue 6, June-2020
Abstract:
The advent of cloud computing, data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data have to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering he large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of the irrelevance to these keywords. Related works on searchable encryption focus on single keyword search or Boolean keyword search, and rarely sort the search results. In this paper, for the first time, we define and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing (MRSE). We establish a set of strict privacy requirements for such a secure cloud data utilization system. Among various multi-keyword semantics, we choose the efficient similarity measure of “coordinate matching,” i.e., as many matches as possible, to capture the relevance of data documents to the search query. We further use “inner product similarity” to quantitatively evaluate such similarity measure. We first propose a basic idea for the MRSE based on secure inner product computation, and then give two significantly improved MRSE schemes to achieve various stringent privacy requirements in two different threat models. To improve search experience of the data search service, we further extend these two schemes to support more search semantics
Keywords:
CLOUD COMPUTING,ENCRYPTION,MANAGEMENT SYSTEM
Cite Article:
"PRIVACY PRESERVING MULTI KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD DATA", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 6, page no.608 - 610, June-2020, Available :http://www.ijsdr.org/papers/IJSDR2006101.pdf
Downloads:
000337074
Publication Details:
Published Paper ID: IJSDR2006101
Registration ID:192038
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier):
Page No: 608 - 610
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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