A Preliminary Phase on Anatomizing Multiple Sensitive Attributes by Determining Main Sensitive Attribute Widodo (a*), Asep Wahyudin (b)
(a) Department of Informatics Education, Universitas Negeri Jakarta
(b) Department of Computer Science, Universitas Pendidikan Indonesia
Abstract
Privacy in publishing data becomes an important and interesting research recently. Many works have been conducted on keeping published data privately. K-anonymity was proposed as 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 single sensitive attribute, while in the real world, a microdata table always contains multiple sensitive attributes. This work handles problem on how to publish data in private mode by rearranging anatomy model. This research aims to determine main sensitive attribute in anatomy with multiple sensitive attribute. This preliminary phase result is a prepared model of main sensitive attribute for anatomy.
Keywords: Anatomy, Multiple Sensitive Attributes, Privacy Preserving Data
