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

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.

• Type: Conference
• Year: 2004
• Where: SIGMOD
• Authors: Vassilios S. Verykios, Elisa Bertino, Igor Nai Fovino, Loredana Parasiliti Provenza, Yücel Saygin, Yannis Theodoridis
• Keywords: Classification Hierarchy, Database, Privacy Preserving Data, SIGMOD 2004