A preliminary phase on anatomizing multiple sensitive attribute by determining main sensitive attribute

Abstract

Abstract This paper aims to determine the main sensitive attribute in anatomy with multiple sensitive attributes. Privacy in published data becomes important and interesting research recently. Many works have been conducted on keeping published data privately. K-anonymity was proposed as the first model in this study. Yet, this model still has some drawbacks. A better model called anatomy is proposed to fix k-anonymity. Many studies on anatomy are performed on a single sensitive attribute, while in the real world, a microdata table always contains multiple sensitive attributes. This work handles problems on how to publish data in private mode by rearranging the anatomy model. We adopted the method in determining main sensitive attribute. We conducted it in the preliminary phase and its result is a prepared model of the main sensitive attribute for anatomy. The result success in ensuring one sensitive attribute as a main sensitive attribute.