Accession Number:

ADA465125

Title:

An Integrated Framework for Database Privacy Protection

Descriptive Note:

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC CENTER FOR HIGH ASSURANCE COMPUTING SYSTEMS (CHACS)

Personal Author(s):

Report Date:

2001-01-01

Pagination or Media Count:

14.0

Abstract:

One of the central objectives of studying database privacy protection is to protect sensitive information held in a database from being inferred by a generic 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.

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE