Classification of privacy-preserving distributed data mining protocols

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Xu, Zhuojia and Yi, Xun (2011) Classification of privacy-preserving distributed data mining protocols. In: 2011 Sixth International Conference on Digital Information Management (ICDIM). IEEE, Piscataway, N.J., pp. 337-342.


Recently, a new research area, named Privacy-preserving Distributed Data Mining (PPDDM) has emerged. It aims at solving the following problem: a number of participants want to jointly conduct a data mining task based on the private data sets held by each of the participants. This problem setting has captured attention and interests of researchers, practitioners and developers from the communities of both data mining and information security. They have made great progress in designing and developing solutions to address this scenario. However, researchers and practitioners are now faced with a challenge on how to devise a standard on synthesizing and evaluating various PPDDM protocols, because they have been confused by the excessive number of techniques developed so far. In this paper, we put forward a framework to synthesize and characterize existing PPDDM protocols so as to provide a standard and systematic approach of understanding PPDDM-related problems, analyzing PPDDM requirements and designing effective and efficient PPDDM protocols.

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Additional Information

Conference held: Melbourne, 26-28 Sept., 2011

Item type Book Section
DOI 10.1109/ICDIM.2011.6093356
Official URL
ISBN 9781457715389 (print), 9781457715396
Subjects Historical > FOR Classification > 0804 Data Format
Historical > FOR Classification > 0806 Information Systems
Historical > SEO Classification > 8903 Information Services
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Keywords ResPubID23621, classification, data security, PPDDM requirements, information security, private data sets, data privacy, protocols, classification algorithms, cryptography, data models, data privacy, distributed databases
Citations in Scopus 20 - View on Scopus
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