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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006118

Page Number

856-866

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Title

Practical Privacy Preserving of data using Bigdata

ISSN

2349-5162

Cite This Article

"Practical Privacy Preserving of data using Bigdata", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.856-866, June-2020, Available :http://www.jetir.org/papers/JETIR2006118.pdf

Abstract

Clustering techniques have been widely adopted in many real world data analysis applications, such as customer behavior analysis, medical data Analysis, digital forensics, etc. This is because cloud computing offers not only reliable services with performance guarantees, but also savings on in-house IT infrastructures. However, as datasets used for clustering may contain sensitive information, e.g., patient health information, commercial data, and behavioral data, etc, directly outsourcing them to any Distributed servers inevitably raise privacy concerns. In this paper, we propose a practical privacy-preserving K-means clustering scheme that can be efficiently outsourced to cloud server.

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"Practical Privacy Preserving of data using Bigdata", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp856-866, June-2020, Available at : http://www.jetir.org/papers/JETIR2006118.pdf

Publication Details

Published Paper ID: JETIR2006118
Registration ID: 234151
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 856-866
ISSN Number: 2349-5162

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Cite This Article

"Practical Privacy Preserving of data using Bigdata", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp856-866, June-2020, Available at : http://www.jetir.org/papers/JETIR2006118.pdf




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