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

Monthly Journal for Science , Computer Science and Engineering

Volume5,January 2018,

Topic : A Data Mining Approach With Anonymization Techniques Using Keyword Search On Health Based Records

Authors:Sri. E. Ramesh || Dr. B Tarakeswara Rao

Abstract:A medicinal services framework incredibly upgrades the patient social insurance records which are put away in the cloud server. Accessible encryption conspire is utilized which improves the inquiry system. Conjunctive watchword look encourages the approved clients to get to the records by giving numerous catchphrases, so it ends up plainly troublesome for the aggressors to figure the watchword and recover the records. Re-encryption conspire gives greater security to the records by re- scrambling the encoded list before transferring them to the cloud server. Since the patient's social insurance records comprise of touchy data, it might be badly designed for the patient when his records are gotten to by everybody. To beat the issue in our proposed work we present the idea called K-Anonymity which is utilized so it gives just an incomplete access to the approved clients by utilizing two techniques concealment and speculation. This has been exceptionally productive in the standard model..

Keywords: K-Anonymity, Re-encryption, authorized

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DOI: 01.1617/vol5/iss1/pid49028


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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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ARTICLES PUBLISHED:0521
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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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