Abstract: With the development of information technology, privacy leakage becomes a serious problem, therefore, it is in urgent need to prevent personal privacy disclosure in data publishing. For this reason, many researchers have proposed different ways to achieve data publishing of privacy protection. To sum up the previous work, we introduced research significance of privacy protection data release technology and its development process, described background attack model and privacy model during the study in this field, deeply analysed existing generalization/suppression method and clustering method to achieve anonymity data release, summarized information metrics of related anonymous dada quality, also discussed incremental data release method caused by data update as well as high-dimensional data and mobile duto release, finally, looked further research trends in this field.

Key words: Privacy prcscrving,Data publishing,k-anonymity,Gencralization,Information metrics