Abstract：With the rapid development of computer and network technology, data publishing
achieves wellsharing of information for the purpose of data mining and analyzing, whille
it may cause the leakage risk of a great amount of sensitive privacy information in the
data. Anonymity technology is the main method to realize privacy preservation in data
publishing. The research progress of anonymity technology in data publishing was summed
up. The scenario of data anonymization was introduced briefly. The anonymization models
were summarized, which were respectively used to deal with static data publishing of
single sensitive attribute and multidimensional ones, incremental data publishing,
streaming data publishing and trajectory data publishing. The anonymization model
abilities to resist linking attack, homogeneity attack and background knowledge attack
were analyzed. The anonymization methods of generalization, suppression, clustering,
microaggregation, anatomy and permutation were analyzed and compared. The applications of
anonymity techniques for privacy preservation in the fields of data mashup, location based
services and social network were discussed. The future research of anonymity technology
for data publishing was proposed.
刘湘雯, 王良民. 数据发布匿名技术进展[J]. 江苏大学学报（自然科学版）, 2016, 37(5): 562-571.
LIU Xiang-Wen, WANG Liang-Min. Advancement of anonymity technique for data publishing[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2016, 37(5): 562-571.
2016, Vol. 37 
