Privacy Protected Keyword Search Method in Cloud Data

Authors(2) :-N. S. Akhil Krishnan, A. Sundersingh

Cloud data owners prefer to outsource documents in an encrypted form for privacy preserving. Therefore, it is essential to develop efficient and reliable cipher text search techniques. In this paper, a hierarchical clustering method is proposed to support more semantistics and meet the command for fast cipher text search with in a big data environment. The proposed hierarchical approach clusters the documents based on the minimum relevance threshold. The results show that with a sharp increase of documents in the data set. The search time of the proposed method increases exponentially. Furthermore, the proposed method has advantage over the traditional method in the rank privacy and relevance of retrieved documents.

Authors and Affiliations

N. S. Akhil Krishnan
Department of M.Sc(Software Engineering), PSN College of Engineering & Technology, Tirunelveli,Tamilnadu, India
A. Sundersingh
Department of M.Sc(Software Engineering), PSN College of Engineering & Technology, Tirunelveli,Tamilnadu, India

PrefDB, data, SQL, Query Parser, Tuples.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 56-61
Manuscript Number : CSEIT17221
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

N. S. Akhil Krishnan, A. Sundersingh, "Privacy Protected Keyword Search Method in Cloud Data", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.56-61, March-April-2017.
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