Evolution of Privacy-Preserving Data Publishing

摘要：

To achieve privacy protection better in data publishing, data must be sanitized before release. Research on protecting individual privacy and data confidentiality has received contributions from many fields. In order to grasp the development of privacy preserving data publishing, we discussed the evolution of this theme, focused on privacy mechanism, data utility and its metrics. The privacy mechanism, such as k-anonymity, l-diversity and t-closeness, provides formal safety guarantees and data utility preserve useful information while publishing data. Meantime, we discussed social network privacy and location based service. Finally, we made a conclusion with respect to privacy preserving data publishing, and given further research directions.

关键词： data publishing privacy preserving location based service social network

作者: Yongbin Yuan Jing Yang Jianpei Zhang Sheng Lan Junwei Zhang

作者单位: College of computer science and technology Harbin engineering universityHarbin 150001, China College College of computer science and technology1Harbin engineering universityHarbin 150001, China College of electrical engineering & automationFuzhou UniversityFuzhou 350108, China College of computer science and technology Harbin engineering university Harbin 150001, China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Anti-Counterfeiting Security and Identification(2011防伪、安全及鉴定国际会议 ASID2011)

会议地点: 厦门

会议语种:英文

页码: 34-37

在线出版日期: 2011-06-24（万方平台首次上网日期，不代表论文的发表时间）