On security and privacy risks in association mining algorithms

Abstract

Association mining algorithms can be used to discover sensitive knowledge from non-protected data that are voluntarily released for mining purposes. In this paper, we present a risk assessment procedure designed to control the security and privacy threats presented by association mining algorithms. The assessment procedure is based upon a new data analysis process that we introduce called Knowledge Hiding in Databases (KHD). The specific contributions of this paper include a description of the KHD process, and the development and implementation of a risk assessment procedure for association mining algorithms. © 2003 by Springer Science+Business Media New York.