Technique Advances for Anonymization-based Controlling Privacy Disclosure in Data Publishing

This paper introduces the main anonymity preservation models,reviews the research advances and analyzes the limitations of the anonymization algorithms that generalization and suppression-based,clustering-based and swapping-based.This paper also indicates that the anonymization technique of data publishing need to be further researched,such as the homogeneity attack and the background knowledge attack,the privacy preservation of dynamic data,the personalized privacy preservation,adaptive mechanism of data publication,application-oriented privacy protection,and multiple sensitive attributes dataset privacy protection.