TitleAn Integrated Framework for Database Privacy Protection
Publication TypeBook Chapter
Year of Publication2001
Book TitleData And Applications Security: Developments and Directions
PublisherKluwer Academic Publishers

One of the central objectives of studying database privacy protection is to protect sensitive information held in a database from being inferred by the general unauthorized database user. In this paper, we present a framework to assist in the formal analysis of the database inference problem. The framework is based on an association network which is composed of a similarity measure and a Bayesian network model.