Privacy Preserving Data Mining: Taxonomy of Existing Techniques

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Author(s): Madhu V. Ahluwalia (University of Maryland, Baltimore County (UMBC), USA)and Aryya Gangopadhyay (University of Maryland, Baltimore County (UMBC), USA)
Copyright: 2008
Pages: 24
Source title: Computer Security, Privacy and Politics: Current Issues, Challenges and Solutions
Source Author(s)/Editor(s): Ramesh Subramanian (Quinnipiac University, USA )
DOI: 10.4018/978-1-59904-804-8.ch005

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

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Abstract

This chapter gives a synopsis of the techniques that exist in the area of privacy preserving data mining. Privacy preserving data mining is important because there is a need to develop accurate data mining models without using confidential data items in individual records. In providing a neat categorization of the current algorithms that preserve privacy for major data mining tasks, the authors hope that students, teachers and researchers can gain an understanding of this vast area and apply the knowledge gained to find new ways of simultaneously preserving privacy and conducting mining.

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