The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Mondrian Multidimensional K-Anonymity
Abstract
K-Anonymity has been proposed as a mechanism for protecting privacy in microdata publishing, and numerous recoding "models" have been considered for achieving ��anonymity. This paper proposes a new multidimensional model, which provides an additional degree of flexibility not seen in previous (single-dimensional) approaches. Often this flexibility leads to higher-quality anonymizations, as measured both by general-purpose metrics and more specific notions of query answerability. Optimal multidimensional anonymization is NP-hard (like previous optimal ��-anonymity problems). However, we introduce a simple greedy approximation algorithm, and experimental results show that this greedy algorithm frequently leads to more desirable anonymizations than exhaustive optimal algorithms for two single-dimensional models.
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Citations
Cites
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
SWEENEY, L. (2002) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488502001648 · Cited by 8,571
Cited by
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
Li, N., Li, T., & Venkatasubramanian, S. (2007) · 2007 IEEE 23rd International Conference on Data Engineering · doi:10.1109/icde.2007.367856 · Cited by 3,451
Privacy-preserving data publishing: A survey of recent developments
Fung, B. C. M., Wang, K., Chen, R., & Yu, P. S. (2010) · ACM Computing Surveys · doi:10.1145/1749603.1749605 · Cited by 1,704
Information Security in Big Data: Privacy and Data Mining
Xu, L., Jiang, C., Wang, J., Yuan, J., & Ren, Y. (2014) · IEEE Access · doi:10.1109/access.2014.2362522 · Cited by 631
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
Abul, O., Bonchi, F., & Nanni, M. (2008) · 2008 IEEE 24th International Conference on Data Engineering · doi:10.1109/icde.2008.4497446 · Cited by 506
A General Survey of Privacy-Preserving Data Mining Models and Algorithms
Aggarwal, C. C., & Yu, P. S. (2008) · Advances in Database Systems · doi:10.1007/978-0-387-70992-5_2 · Cited by 469
Metadata
- Authors
- LeFevre, K., DeWitt, D. J., & Ramakrishnan, R.
- Venue
- 22nd International Conference on Data Engineering (ICDE'06)
- Publisher
- IEEE
- Published
- 2006
- Pages
- 25-25
- ISSN
- 1084-4627 (ISSN-L)
- OpenAlex
- W2135581534
- Cited by
- 1,124
- References
- 1
- FWCI
- 53.55
- Type
- conference paper
- Language
- en
- Open access
- closed
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