|Title||An Integrated Framework for Database Privacy Protection|
|Publication Type||Book Chapter|
|Year of Publication||2001|
|Book Title||Data And Applications Security: Developments and Directions|
|Publisher||Kluwer 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.