Research on Diversity of Sensitive Attribute of K-Anonymity

Abstract

The common way to protect privacy is to use K-anonymity in data publishing. This paper will analyse comprehensively the current research situation of K-anonymity model used to prevent privacy leaked in data publishing, we study the characteristics of sensitive attribute diversity of K-Anonymity, and propose CBK(L,K)-Anonymity algorithm in order to solve the problem of privacy information leakage in publishing the data, it can make anonymous data effectively resist background knowledge attack and homogeneity attack , and can solve diversity of sensitive attribute. In addition, we will extend our ideas for handling how to solve privacy information leakage problem by using CBK(L,K)-Anonymity algorithm in another paper.