Survey of study on privacy-preserving data publishing

Liu Shan-cheng · Jisuanji yingyong yanjiu · 2010

When publishing the data set that is involved in personal privacy,the publisher should guarantee individual sensitive information security,simultaneously,as much as possible to improve the data usefulness and it is the great challenge in the privacy protection faces. In the recent years,the domestic and foreign scholars have conducted the extensive research. Carrying on the summary to the research results at the right moment,it can be clear about the research direction. This paper surveyed privacy protection achievements in the PPDP field,introduced the typical privacy protection model and technology, privacy metrics and algorithms. Focused on PPDP in different application scenarios,and pointed out that the PPDP possible research topics and application prospects.

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