Title: State of the Art in Privacy Preserving Data Mining
Authors: NAI FOVINO IGORMASERA MARCELO
Publisher: OPOCE
Publication Year: 2008
JRC N°: JRC42698
ISSN: 1018-5593
Other Identifiers: EUR 23068 EN
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC42698
Type: EUR - Scientific and Technical Research Reports
Abstract: Privacy is one of the most important properties an information system must satisfy. A relatively new trend shows that classical access control techniques are not sufficient to guarantee privacy when Data Mining techniques are used. Such a trend, especially in the context of public databases, or in the context of sensible information related to critical infrastructures, represents, nowadays a not negligible thread. Privacy Preserving Data Mining (PPDM) algorithms have been recently introduced with the aim of modifying the database in such a way to prevent the discovery of sensible information. This is a very complex task and there exist in the scientific literature some different approaches to the problem. In this work we present a "Survey" of the current PPDM methodologies which seem promising for the future.
JRC Institute:Institute for the Protection and Security of the Citizen

Files in This Item:
File Description SizeFormat 
ppdm_state_of_the_art_corporate_format.pdf866.86 kBAdobe PDFView/Open


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.