A Survey on Privacy Preserving Clustering Analysis in Big Data Environment

Institute of Scholars (InSc), 2020

6 Pages Posted: 22 Sep 2020

See all articles by Dr. Manjunath T N

Dr. Manjunath T N

BMS Institute of Technology and Management

Amogh Pramod Kulkarni

Presidency University

Dr. Ravindra S Hegadi

Central University of Karnataka

Prabhuram B

affiliation not provided to SSRN

Date Written: August 7, 2020

Abstract

Big data computing has gained wide acceptance for its capability to mine knowledge from a large volume of data. It has been used in many knowledge mining requirements in various domains like medicine, finance, social network analysis etc. Clustering is one of the most common important methods for knowledge extraction from large volumes of data. Mining on data in domains like medicine, finance and social network does compromise the privacy of the individual and often leaks sensitive information. The leak of sensitive data can be direct or through inference. Many methods have been proposed in literature for privacy preservation during data mining. This work studies those methods and identifies the weakness in those solutions when applied for big data analytics.

Suggested Citation

T N, Dr. Manjunath and Kulkarni, Amogh Pramod and Hegadi, Dr. Ravindra S and B, Prabhuram, A Survey on Privacy Preserving Clustering Analysis in Big Data Environment (August 7, 2020). Institute of Scholars (InSc), 2020, Available at SSRN: https://ssrn.com/abstract=3668861

Dr. Manjunath T N (Contact Author)

BMS Institute of Technology and Management ( email )

Bengaluru
India

Amogh Pramod Kulkarni

Presidency University ( email )

Bangalore, KS 560089
India

Dr. Ravindra S Hegadi

Central University of Karnataka ( email )

2nd Floor, Karya Soudha
Gulbarga University Campus
Gulbarga, Karnataka 585 106
India

Prabhuram B

affiliation not provided to SSRN

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