Privacy Protected Keyword Search Method in Cloud Data

Authors

  • 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

Keywords:

PrefDB, data, SQL, Query Parser, Tuples.

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.