Open Access

ARTICLE

Research on Privacy Preserving Data Mining

Pingshui Wang^1,*, Tao Chen^1,2, Zecheng Wang¹

1 Anhui University of Finance and Economics, Bengbu, 233030, China.
2 University of Kansas, Lawrence, Kansas, 66045, USA.

*Corresponding Author: Pingshui Wang. Email: .

Journal of Information Hiding and Privacy Protection 2019, 1(2), 61-68. https://doi.org/10.32604/jihpp.2019.05943

Abstract

In recent years, with the explosive development in Internet, data storage and data processing technologies, privacy preservation has been one of the greater concerns in data mining. A number of methods and techniques have been developed for privacy preserving data mining. This paper provided a wide survey of different privacy preserving data mining algorithms and analyzed the representative techniques for privacy preservation. The existing problems and directions for future research are also discussed.

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Keywords

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Citations