A Review on Secure Multi-Keyword Ranked Search for Multi Data Owners in Cloud Computing

Authors(2) :-P Vara Prasada Rao, S Govinda Rao

In cloud computing, data owners outsource their complex data management systems from local sites to the public cloud for great flexibility and cost-effective. But before outsourcing, sensitive data have to be encrypted for protecting data privacy. This obsoletes traditional data utilization based on plaintext keyword search. Thus, allowing an encrypted cloud data search service is of vital importance. As there are 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 their relevance to these keywords. In literature of searchable encryption single keyword search or Boolean keyword search techniques are discussed. In this paper, we propose the problem of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing (MRSE). In which the queries are transferred to the server. Server searches the relevant content by using the coordinate matching and sends the results to the user. Then the user decrypts the data.

Authors and Affiliations

P Vara Prasada Rao
Department of CSE, GRIET, Kukatpally, Hyderabad, Telangana, India
S Govinda Rao
Department of CSE, GRIET, Kukatpally, Hyderabad, Telangana, India

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

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 655-660
Manuscript Number : CSEIT1831137
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

P Vara Prasada Rao, S Govinda Rao, "A Review on Secure Multi-Keyword Ranked Search for Multi Data Owners in Cloud Computing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.655-660, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT1831137

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