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A Competent Multi-Keyword Exploration Scheme over Encrypted Data in Cloud

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A Competent Multi-Keyword Exploration Scheme over Encrypted Data in Cloud


Saranya K | Manohari J | Haripriya H


Saranya K | Manohari J | Haripriya H "A Competent Multi-Keyword Exploration Scheme over Encrypted Data in Cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, pp.1013-1018, URL: http://www.ijtsrd.com/papers/ijtsrd11243.pdf

Cloud computing is an emerging technology in the present scenario which enhances enormous data storage and its processing. Various issues are present in maintaining the cloud environment. Some among them include data privacy and data confidentiality faced by the data owners while storing their private data onto the cloud. The domain of Data mining mainly helps in efficient retrieval of the content stored in the public space using various retrieval methods. Generally, in cloud, the data privacy is provided by outsourcing the files in encrypted form before being uploaded. This creates more demand in server side data utilization i.e., searching on encrypted files from the cloud. As of now the retrieval is made productive through keyword based search. Most recent works focus on the single keyword provided as queries in the search process. In the keyword ranked search, it had been difficult to store when the number of keywords are more. In the work carried out below, an efficient and reliable multi-keyword search method called K-Gram search is developed. Using K-gram it is possible to retrieve more than one file i.e., related files to the keyword searched, productively relative to misspelled keywords too. In addition the user behavior is too monitored from the start for enhancing keyword search and it also ensures proper confidentiality via access confirmation through secret keys. The system thus tends to provide more chances for tackling data privacy and confidentiality issues. It can also achieve sub linear search time thereby increasing the query processing and accuracy in keyword search.

Cloud computing; Data mining; Multi-keyword search; K gram; Data privacy; Sub-linear search time


IJTSRD11243
Volume-2 | Issue-3 , April 2018
1013-1018
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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