Research on Privacy Protection Based on K-Anonymity
Xiangmin Ren, Jing Yang · 2010
With the rising of data mining technology and the appearances of data stream and uncertain data technology etc, individual data, the enterprise data are possibly leaked at any moments, so the data security has become nowadays the main topic of information security. 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, introduce the technology of K-anonymity, generalization and suppression, illustrate K-anonymity evaluation criterion, and assess many different algorithms used currently. Finally, the future directions in this field are discussed.