Research Article
Safe Multi Keyword Ranked Search over Encrypted Cloud Data
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
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| Volume 5 - Issue 6 |
| Published: Jul 2016 |
| Authors: Pradnya H. Unde, Arti Mohanpurkar |
10.5120/cae2016652309
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Pradnya H. Unde, Arti Mohanpurkar . Safe Multi Keyword Ranked Search over Encrypted Cloud Data. Communications on Applied Electronics. 5, 6 (Jul 2016), 11-15. DOI=10.5120/cae2016652309
@article{ 10.5120/cae2016652309,
author = { Pradnya H. Unde,Arti Mohanpurkar },
title = { Safe Multi Keyword Ranked Search over Encrypted Cloud Data },
journal = { Communications on Applied Electronics },
year = { 2016 },
volume = { 5 },
number = { 6 },
pages = { 11-15 },
doi = { 10.5120/cae2016652309 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Pradnya H. Unde
%A Arti Mohanpurkar
%T Safe Multi Keyword Ranked Search over Encrypted Cloud Data%T
%J Communications on Applied Electronics
%V 5
%N 6
%P 11-15
%R 10.5120/cae2016652309
%I Foundation of Computer Science (FCS), NY, USA
Abstract
To get more flexibility, data owner interested to outsource their complex data set on the cloud. Cloud computing provides data outsourcing and data high quality service. For data security, the data owner provides encryption on their data. Hence, for Low cost and low computational overhead the data owner migrates their data on the cloud. In subsisting system, for the first instance, the conundrum of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing (MRSE) is define and solve. The basic idea of MRSE mechanism is to perform a safe inner product calculation, and then gives two appreciably improved MRSE schemes (Coordinate matching and Inner product similarity) to achieve various privacy requirements in two different models. Advance tree based index structure and numerous adaptive approaches for multi-dimensional (MD) algorithm are propose to increase the search efficiency so that the technical search efficiency is more than that of linear search.
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