Fuzzy Keyword Search over Encrypted Data in Cloud Computing using String Matching Algorithm

Authors

  • S. Thangavelu
  • N. Siranjeevi
  • P. K. Shanmugam

DOI:

https://doi.org/10.37591/joosdt.v4i2.1076

Abstract

Abstract

As cloud computing ends up plainly overarching, over and extra sensitive information square measure being incorporated into the cloud. In spite of the fact that antiquated accessible encoding plans empower a client to immovably seek over scrambled learning through catchphrases and by choice recover records of premium, these systems bolster exclusively exact watchword look. Amid this paper, for the most vital time, we have a tendency to celebrate and explain the matter of powerful fuzzy keyword look over encoded cloud information though keeping up catchphrase security. Fuzzy catchphrase seek significantly improves framework ease of use by restoring the coordinating records once clients' watching out information sources particularly coordinate the predefined watchwords or the most noteworthy achievable coordinating documents upheld catchphrase similitude semantics, once exact match comes up short. In our answer, we tend to misuse alter separation to evaluate watchwords closeness and create two propelled procedures on building fuzzy catchphrase sets that succeed enhanced capacity and delineation overheads. We keep an eye on any greenhorn image based trie-cross watching out topic, wherever a multi-way tree structure is made up abuse images revamped from the fluffy catchphrase sets. Through security investigation, we tend to demonstrate that our anticipated answer is secure and protection saving, though appropriately understanding the objective of fuzzy watchword seek. Top to bottom test show the intensity of the anticipated answer.

Keywords: String matching formula, fuzzy keyword

Cite this Article

Thangavelu S, Siranjeevi N, Shanmugam PK. Fuzzy Keyword Search over Encrypted Data in Cloud Computing Using String Matching Algorithm. Journal of Operating Systems Development & Trends. 2017; 4(2): 8–12p.


Downloads

Published

2017-09-16

Issue

Vol. 4 No. 2 (2017)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.