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Survey on Privacy Preserving Data Mining Techniques using Recent Algorithms

by Rajesh N., Sujatha K., A. Arul Lawrence Selvakumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 7
Year of Publication: 2016
Authors: Rajesh N., Sujatha K., A. Arul Lawrence Selvakumar
10.5120/ijca2016907917

Rajesh N., Sujatha K., A. Arul Lawrence Selvakumar . Survey on Privacy Preserving Data Mining Techniques using Recent Algorithms. International Journal of Computer Applications. 133, 7 ( January 2016), 30-33. DOI=10.5120/ijca2016907917

@article{ 10.5120/ijca2016907917,
author = { Rajesh N., Sujatha K., A. Arul Lawrence Selvakumar },
title = { Survey on Privacy Preserving Data Mining Techniques using Recent Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 7 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number7/23799-2016907917/ },
doi = { 10.5120/ijca2016907917 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:30:30.768707+05:30
%A Rajesh N.
%A Sujatha K.
%A A. Arul Lawrence Selvakumar
%T Survey on Privacy Preserving Data Mining Techniques using Recent Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 7
%P 30-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The privacy preserving data mining is playing crucial role act as rising technology to perform various data mining operations on private data and to pass on data in a secured way to protect sensitive data. Many types of technique such as randomization, secured sum algorithms and k-anonymity have been suggested in order to execute privacy preserving data mining. In this survey paper, on current researches made on privacy preserving data mining technique with fuzzy logic, neural network learning, secured sum and various encryption algorithm is presented. This will enable to grasp the various challenges faced in privacy preserving data mining and also help us to find best suitable technique for various data environment.

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Index Terms

Computer Science
Information Sciences

Keywords

Privacy Preserving Data Mining (PPDM) Privacy Preserving Data Publishing (PPDP) Secure Multiparty Computation (SMC) Cryptographic & Secured Sum Computation Algorithms.

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