Privacy preserving publishing on multiple quasi-identifiers
Publication
, Conference
Pei, J; Tao, Y; Li, J; Xiao, X
Published in: Proceedings - International Conference on Data Engineering
January 1, 2009
In some applications of privacy preserving data publishing, a practical demand is to publish a data set on multiple quasi-identifiers for multiple users simultaneously, which poses several challenges. Can we generate one anonymized version of the data so that the privacy preservation requirement like kanonymity is satisfied for all users and the information loss is reduced as much as possible? In this paper, we identify and tackle the novel problem by an elegant solution. The full paper [1] can be found at http://www.cs.sfu. ca/̃jpei/publications/butterfly-tr.pdf. © 2009 IEEE.
Duke Scholars
Published In
Proceedings - International Conference on Data Engineering
DOI
ISSN
1084-4627
ISBN
9780769535456
Publication Date
January 1, 2009
Start / End Page
1132 / 1135
Citation
APA
Chicago
ICMJE
MLA
NLM
Pei, J., Tao, Y., Li, J., & Xiao, X. (2009). Privacy preserving publishing on multiple quasi-identifiers. In Proceedings - International Conference on Data Engineering (pp. 1132–1135). https://doi.org/10.1109/ICDE.2009.183
Pei, J., Y. Tao, J. Li, and X. Xiao. “Privacy preserving publishing on multiple quasi-identifiers.” In Proceedings - International Conference on Data Engineering, 1132–35, 2009. https://doi.org/10.1109/ICDE.2009.183.
Pei J, Tao Y, Li J, Xiao X. Privacy preserving publishing on multiple quasi-identifiers. In: Proceedings - International Conference on Data Engineering. 2009. p. 1132–5.
Pei, J., et al. “Privacy preserving publishing on multiple quasi-identifiers.” Proceedings - International Conference on Data Engineering, 2009, pp. 1132–35. Scopus, doi:10.1109/ICDE.2009.183.
Pei J, Tao Y, Li J, Xiao X. Privacy preserving publishing on multiple quasi-identifiers. Proceedings - International Conference on Data Engineering. 2009. p. 1132–1135.
Published In
Proceedings - International Conference on Data Engineering
DOI
ISSN
1084-4627
ISBN
9780769535456
Publication Date
January 1, 2009
Start / End Page
1132 / 1135