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김종선(Jongseon Kim),정기정(Kijung Jung),이혁기(Hyukki Lee),김수형(Soohyung Kim),김종욱(Jong Wook Kim),정연돈(Yon Dohn Chung) Korean Institute of Information Scientists and Eng 2017 정보과학회논문지 Vol.44 No.2
In recent years, data are actively exploited in various fields. Hence, there is a strong demand for sharing and publishing data. However, sensitive information regarding people can breach the privacy of an individual. To publish data while protecting an individual’s privacy with minimal information distortion, the privacy- preserving data publishing(PPDP) has been explored. PPDP assumes various attacker models and has been developed according to privacy models which are principles to protect against privacy breaching attacks. In this paper, we first present the concept of privacy breaching attacks. Subsequently, we classify the privacy models according to the privacy breaching attacks. We further clarify the differences and requirements of each privacy model.