International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,April 2017,

Topic : Enhanced Multi-Keyword Ranked Search Manipulations via Cloud Virtualization

Authors:S.Uma Maheswari || p.priya ponnusamy, dr.r.vidhyapriya

Abstract:The enhancement and the fame of cloud computing are increasing nowadays which is driving the data owners to keep their personal and professional data on public cloud servers With the help of data outsourcing the organizations can provide reliable and efficient services to their users. The other advantage of outsourcing the data over cloud servers is for high benefit and lesser cost in managing the data and the data can be accessed from anywhere and at any time. However, for privacy concerns, the data that are highly sensitive should be encrypted before outsourcing. Taking into consideration the huge amount of data users and files that are present in the cloud, it is important that multiple keywords should be allowed in the searching request and retrieve the files relevant to those keywords. There are some methods and solutions offered to provide privacy and security for the data over the cloud server. However, the data that are sensitive should be encrypted and stored before outsourcing. In this paper, a secure scheme called the enhanced multi-keyword ranked search is presented. In the proposed scheme the search takes place as content based search along with ranking. Based on the content, data is searched and retrieved and then the rank is applied. During searching, attacks might be done by SQL injection to dump the database contents by the unauthorized users or attackers. In this project SQL injection is not allowed. The SQL parameterization technique is used to prove that SQL injection is not possible.

Keywords: multi-keywords ranked searching; efficient retrieval; cloud server; data outsourcing

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DOI: 01.1617/vol4/iss4/pid43198


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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