A critique of k-anonymity and some of its enhancements

ARES 2008 - 3rd International Conference on Availability, Security, and Reliability, Proceedings

Volumn , Issue , 2008, Pages 990-993

  Domingo Ferrer, Josep ^a   Torra, Vicenç ^b  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b ARTIFICIAL INTELLIGENCE RESEARCH INSTITUTE IIIA CSIC   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

INTERNATIONAL CONFERENCES; K-ANONYMITY;

ERROR ANALYSIS;

EID: 49049098124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ARES.2008.97     Document Type: Conference Paper

References (17)

1. R. Agrawal and R. Srikant. Privacy preserving data mining. In Proceedings of the ACM SIGMOD, pages 439-450. ACM, 2000.
2. B. Chor, O. Goldreich, E. Kushilevitz, and M. Sudan. Private information retrieval. In IEEE Symposium on Foundations of Computer Science (FOCS), pages 41-50, 1995.
3. T. Dalenius. The invasion of privacy problem and statistics production. an overview. Statistik Tidskrift, 12:213-225, 1974.
4. T. Dalenius. Finding a needle in a haystack - or identifying anonymous census records. Journal of Official Statistics, 2(3):329-336, 1986.
5. J. Domingo-Ferrer. A three-dimensional conceptual framework for database privacy. In Secure Data Management-4th VLDB Workshop SDM'2007, volume 4721 of Lecture Notes in Computer Science, pages 193-202, Berlin Heidelberg, 2007.
6. A. Hundepool, J. Domingo-Ferrer, L. Franconi, S. Giessing, R. Lenz, J. Longhurst, E. Schulte-Nordholt, G. Seri, and P.-P. DeWolf. Handbook on Statistical Disclosure Control (version 1.0). Eurostat (CENEX SDC Project Deliverable), 2006.
7. N. Li, T. Li, and S. Venkatasubramanian. T-closeness: privacy beyond k-anonymity and l-diversity. In Proceedings of the IEEE ICDE 2007, 2007.
8. Y. Lindell and B. Pinkas. Privacy preserving data mining. In Advances in Cryptology - CRYPTO'00, volume 1880 of Lecture Notes in Computer Science, pages 36-53, Berlin Heidelberg, 2000.
9. A. Machanavajjhala, J. Gehrke, D. Kiefer, and M. Venkitasubramanian. L-diversity: privacy beyond k-anonymity. In Proceedings of the IEEE ICDE 2006, 2006.
10. P. Samarati. Protecting respondents' identities in microdata release. IEEE Transactions on Knowledge and Data Engineering, 13(6):1010-1027, 2001.
11. P. Samarati and L. Sweeney. Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression. Technical report, SRI International, 1998.
12. L. Sweeney. Achieving k-anonymity privacy protection using generalization and suppression. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 10(5):571-588, 2002.
13. L. Sweeney. k-anonimity: A model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 10(5):557-570, 2002.
14. T. M. Truta and B. Vinay. Privacy protection: p-sensitive k-anonymity property. In 2nd International Workshop on Privacy Data Management PDM 2006, page p. 94, Berlin Heidelberg, 2006. IEEE Computer Society.
15. L. Willenborg and T. DeWaal. Elements of Statistical Disclosure Control. Springer-Verlag, New York, 2001.
16. R. C.-W. Wong, A. W.-C. Fu, Ke Wang, and J. Pei. Minimality attack in privacy preserving data publishing. In Proceedings of the VLDB 2007, Vienna, 2007.
17. R. C.-W. Wong, J. Li, A. W.-C. Fu, and Ke Wang. (α,k)-anonymity: an enhanced k-anonymity model for privacy-preserving data publishing. In Proceedings of the ACM KDD, pages 754-759, New York, 2006.