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Privacy Preserving and Efficient Accessing Cloud Resources

Author(s):

K Gopichand , VIT UNIVERSITY; R Kannadasan, VIT UNIVERSITY; A Anantha, UNIVERSITY COLLEGE OF ENGINEERING

Keywords:

Multi Keyword Query, Ranked Search, Encryption, Inner-Product Similarity

Abstract

In recent days cloud computing is an emerging technology in terms of economy, as data owners are motivated to move their valuable data systems from local machines to commercial public cloud. But the security and sensitivity of the data should be preserved before outsourcing to public cloud. The data should be encrypted before outsourcing it in to the cloud, which needs to overcome the traditional way of data retrieval methods based on plain text keyword search. While dealing with large number of data users and files in cloud environment, it is necessary to consider efficient searching mechanism for better retrieval of data from cloud. Multi keyword query is an efficient data retrieval technique. In this proposed work we are using secure multi keyword search on encrypted cloud data and preserve the strict privacy policies. Coordinate matching and inner product similarity is used to query the keywords. Ranking of keywords is done for most frequently used search results.

Other Details

Paper ID: IJSRDV3I2631
Published in: Volume : 3, Issue : 2
Publication Date: 01/05/2015
Page(s): 2383-2385

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