A hybrid method for k-anonymization

Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008

Volumn , Issue , 2008, Pages 385-390

  Lin, Jun Lin ^a   Wei, Meng Cheng ^a   Li, Chih Wen ^a   Hsieh, Kuo Chiang ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION MANAGEMENT; MINING;

ANONYMIZATION; DATA SETS; HYBRID METHOD; HYBRID TECHNIQUES; INDIVIDUAL IDENTIFICATION; INFORMATION LOSS; K-ANONYMITY; K-ANONYMIZATION; MICRODATA;

DATA PRIVACY;

EID: 64049107121     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APSCC.2008.65     Document Type: Conference Paper

References (13)

1. R. Agrawal and R. Srikant, "Privacy-preserving data mining," in Proceedings of the ACM SIGMOD International Conference on Management of Data, 2000.
2. P. Samarati, "Protecting respondent's privacy in microdata release," TKDE, vol. 13, no. 6, 2001.
3. L. Sweeney, "K-anonymity: a model for protecting privacy," International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, vol. 10, no. 5, pp. 557-570, 2002.
4. V. Ciriani, S. D. C. di Vimercati, S. Foresti, and P. Samarati, "K-anonymity," Security in Decentralized Data Management (to appear).
5. J.-W. Byun, A. Kamra, E. Bertino, and N. Li, "Efficient k-anonymization using clustering techniques," in Internal Conference on Database Systems for Advanced Applications, 2007.
6. K. LeFevre, D. J. DeWitt, and R. Ramakrishnan, "Mondrian multidimensional k-anonymity," in Proceedings of the 22nd IEEE International Conference on Data Engineering, 2006.
7. J.-L. Lin and M.-C. Wei, "An efficient clustering method for k-anonymization," in International Workshop on Privacy and Anonymity in the Information Society, 2008.
8. A. Solanas, F. Sebé, and J. Domingo-Ferrer, "Micro- aggregation-based heuristics for p-sensitive kanonymity: One step beyond," in International Workshop on Privacy and Anonymity in the Information Society, 2008.
9. G. Loukides and J. Shao, "Capturing data usefulness and privacy protection in k-anonymisation," in Proceedings of the 2007 ACM symposium on Applied Computing, 2007.
10. C.-C. Chiu and C.-Y. Tsai, "A k-anonymity clustering method for effective data privacy preservation," in Third International Conference on Advanced Data Mining and Applications, 2007.
11. H. Zhu and X. Ye, "Achieving k-anonymity via a density-based clustering method," in APWeb/WAIM (G. Dong, X. Lin, W. Wang, Y. Yang, and J. X. Yu, eds.), vol. 4505 of Lecture Notes in Computer Science, pp. 745-752, Springer, 2007.
12. S. Hettich and C. Merz, "UCI repository of machine learning datasets," 1998.
13. B. C. M. Fung, K.Wang, and P. S. Yu, "Top-down specialization for information and privacy preservation," in Proceedings of the 21st International Conference on Data Engineering, pp. 205-216, 2005.