A Novel Implementation of Fuzzy Keyword Search over Encrypted Data in Cloud Computing

  IJCOT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© July to Aug Issue 2011 by IJCTT Journal
Volume-1 Issue-3                           
Year of Publication : 2011
Authors : RANJEETH KUMAR.M , D.VASUMATHI.

MLA

RANJEETH KUMAR.M , D.VASUMATHI. "A Novel Implementation of Fuzzy Keyword Search over Encrypted Data in Cloud Computing"International Journal of Computer Trends and Technology (IJCTT),V1(3):365-369 July to Aug Issue 2011 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract: —Cloud computing is an internet computing in which data is stored and accessed via a remote third party server called cloud, rather than being stored locally on our machine and the resources, software’s, and information are provided to users on demand. In cloud computing environment data security is an on-going challenging task, hence the sensitive data has to be encrypted before outsourcing. In existing technique we retrieve the files from the cloud, by searching the keywords on the encrypted data. They are many searching technique which were implemented in the cloud but the disadvantages with these technique supports only exact keyword search. Typical users searching behaviors are happen very frequently these are the drawbacks with the existing system which are not suitable for cloud computing environment and which effects system usability. Our proposed work in this paper concentrates on solving the problems of the user who search the data with the help of fuzzy keyword on cloud. We formalize and solve the problems of effective fuzzy keyword search over encrypted cloud data while maintaining keyword privacy. Using fuzzy search the exact keywords are displayed along with similarity keywords, which solve the problems faced by the cloud users. We show that our proposed solution is secure and privacy preserving, while correctly realizing the goal of fuzzy keyword search.

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KeywordsPeer-to-peer, performance analysis, search algorithm.