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

Monthly Journal for Science , Computer Science and Engineering

Volume5,January 2018,

Topic : A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data

Authors:Dasari Madhavi || V.Sridhar Reddy, N. Srinivas

Abstract:In view of extending omnipresence of dispersed registering, a consistently expanding number of data proprietors are energized to outsource their data to cloud servers for uncommon solace and reduced cost in data organization. Regardless, fragile data should be encoded before outsourcing for security [1] necessities, which obsoletes data utilization like watchword based record recuperation. In this paper, I present an ensured multi-catchphrase situated look scheme over mixed cloud data, which at same time reinforces dynamic revive operations like cancelation and incorporation of reports. Specifically, vector space appear and for most part used TF_IDF show are participated in document advancement and request age. I assemble an exceptional tree-based record structure and propose an "Unquenchable Depth-first Search" count to give gainful multi-watchword situated look. The ensured kNN computation is utilized to scramble the document and question vectors, and meanwhile ensure correct substance attain figuring between encoded record and request vectors. Remembering ultimate objective to restrict quantifiable strikes, apparition terms are added to rundown vector for blinding inquiry things. In view of usage of our outstanding tree-based rundown structure, the proposed plan can achieve sub-straight request time and deal with cancelation and incorporation of proceedings of adaptably. Expansive tests are coordinated to demonstrate the efficiency of proposed plot.

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DOI: 01.1617/vol5/iss1/pid18607


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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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