State-of-the-art in privacy preserving data mining

  • Authors:
  • Vassilios S. Verykios;Elisa Bertino;Igor Nai Fovino;Loredana Parasiliti Provenza;Yucel Saygin;Yannis Theodoridis

  • Affiliations:
  • Academic and Research Computer Technology Institute, Athens, Greece;Universita di Milano, Milano, Italy;Universita di Milano, Milano, Italy;Universita di Milano, Milano, Italy;Sabanci University, Turkey;Academic and Research Computer Technology Institute, Athens, Greece

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 2004

Quantified Score

Hi-index 0.01

Visualization

Abstract

We provide here an overview of the new and rapidly emerging research area of privacy preserving data mining. We also propose a classification hierarchy that sets the basis for analyzing the work which has been performed in this context. A detailed review of the work accomplished in this area is also given, along with the coordinates of each work to the classification hierarchy. A brief evaluation is performed, and some initial conclusions are made.