SECURED FUZZY RANKED MULTIPLE-KEYWORD SEARCH FOR SEVERAL DATA-OWNER PARADIGM USING STRING MATCHING ALGORITHM IN CLOUD COMPUTING

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Kapil Kasture
Rohan Tanpure
Piyush Dhale
Venkatesh Ghalge
Jayashree Chaudhari

Abstract

With the increase in number of users in cloud where users can outsource their huge data on cloud and at the time of its need the information or the data can be retrieved from the cloud very easily. For the privacy purpose, secure search is provided, but it limits to single owner model and not for several one, so this paper proposes a system which will provide a secure search efficiently for several owners using Fuzzy logic to access several files or single files without causing no ambiguity and to get the exact output from the cloud server we will use string matching algorithm for mapping the distance between two strings and also ranking the strings for better efficiency. To detect the illegal user who is not authenticated we will provide authentication key to the users which will generate dynamic secret key which will overall secure the personal as well as enterprise information from the unknown identification.

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How to Cite
Kasture, K., Tanpure, R., Dhale, P., Ghalge, V., & Chaudhari , J. (2017). SECURED FUZZY RANKED MULTIPLE-KEYWORD SEARCH FOR SEVERAL DATA-OWNER PARADIGM USING STRING MATCHING ALGORITHM IN CLOUD COMPUTING. Multidisciplinary Journal of Research in Engineering and Technology, 4(1), 1109–1115. https://doi.org/10.65521/mjret.v4i1.1070
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Articles
Author Biography

Kapil Kasture

With the increase in number of users in cloud where users can outsource their
huge data on cloud and at the time of its need the information or the data can be retrieved
from the cloud very easily. For the privacy purpose, secure search is provided, but it limits to
single owner model and not for several one, so this paper proposes a system which will
provide a secure search efficiently for several owners using Fuzzy logic to access several
files or single files without causing no ambiguity and to get the exact output from the cloud
server we will use string matching algorithm for mapping the distance between two strings
and also ranking the strings for better efficiency. To detect the illegal user who is not
authenticated we will provide authentication key to the users which will generate dynamic
secret key which will overall secure the personal as well as enterprise information from the
unknown identification.

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