Anonymizing sequential releases

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn 2006, Issue , 2006, Pages 414-423

  Wang, Ke ^a   Fung, Benjamin C M ^a,b  

^a SIMON FRASER UNIVERSITY   (Canada)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Classification; Generalization; K anonymity; Privacy; Sequential release

Indexed keywords

DATABASE SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); LOGIC DESIGN; PROBLEM SOLVING; SEQUENTIAL MACHINES;

GENERALIZATION; K-ANONYMITY; QUASI-IDENTIFIERS; SEQUENTIAL RELEASE;

DATA MINING;

EID: 33749581232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1150402.1150449     Document Type: Conference Paper

References (26)

1. G. Aggarwal, T. Feder, K. Kenthapadi, R. Motwani, R. Panigrahy, D. Thomas, and A. Zhu. Anonymizing tables. In ICDT, 2005.
2. R. Bayardo and R. Agrawal. Data privacy through optimal k-anonymization. In IEEE ICDE, pages 217-228, 2005.
3. C. Clifton. Using sample size to limit exposure to data mining. Journal of Computer Security, 8(4):281-307, 2000.
4. A. Deutsch and Y. Papakonstantinou. Privacy in database publishing. In ICDT, 2005.
5. B. C. M. Fung, K. Wang, and P. S. Yu. Top-down specialization for information and privacy preservation. In IEEE ICDE, pages 205-216, April 2005.
6. V. S. Iyengar. Transforming data to satisfy privacy constraints. In ACM SIGKDD, pages 279-288, 2002.
7. D. Kifer and J. Gehrke. Injecting utility into anonymized datasets. In ACM SIGMOD, Chicago, IL, June 2006.
8. K. LeFevre, D. J. DeWitt, and R. Ramakrishnan. Incognito: Efficient full-domain k-anonymity. In ACM SIGMOD, 2005.
9. K. LeFevre, D. J. DeWitt, and R. Ramakrishnan. Mondrian multidimensional k-anonymity. In IEEE ICDE, 2006.
10. A. Machanavajjhala, J. Gehrke, and D. Kifer. l-diversity: Privacy beyond k-anonymity. In IEEE ICDE, 2006.
11. B. Malin and L. Sweeney. How to protect genomic data privacy in a distributed network. In Journal of Biomed Info, 37(3): 179-192, 2004.
12. A. Meyerson and R. Williams. On the complexity of optimal k-anonymity. In PODS, 2004.
13. G. Miklau and D. Suciu. A formal analysis of information disclosure in data exchange. In ACM SIGMOD, 2004.
14. D. J. Newman, S. Hettich, C. L. Blake, and C. J. Merz. UCI repository of machine learning databases, 1998. http://www.ics.uci.edu/~mlearn/MLRepository. html.
15. J. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
16. P. Samarati. Protecting respondents' identities in microdata release. IEEE TKDE, 13(6):1010-1027, 2001.
17. P. Samarati and L. Sweeney. Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression. In IEEE Symposium on Research in Security and Privacy, May 1998.
18. C. E. Shannon. A mathematical theory of communication. The Bell System Technical Journal, 27:379 and 623, 1948.
19. L. Sweeney. k-Anonymity: a model for protecting privacy. In International Journal on Uncertanty, Fuzziness and Knowledge-based Systems, 10(5), pages 557-570, 2002.
20. K. Wang, B. C. M. Fung, and G. Dong. Integrating private databases for data analysis. In IEEE ISI, May 2005.
21. K. Wang, B. C. M. Fung, and P. S. Yu. Template-based privacy preservation in classification problems. In IEEE ICDM, pages 466-473, November 2005.
22. K. Wang, B. C. M. Fung, and P. S. Yu. Handicapping attacker's confidence: An alternative to k-anonymization. Knowledge and Information Systems: An International Journal, 2006.
23. K. Wang, P. S. Yu, and S. Chakraborty. Bottom-up generalization: A data mining solution to privacy protection. In IEEE ICDM, November 2004.
24. R. C. W. Wong, J. Li., A. W. C. Fu, and K. Wang. (α,k)-anonymity: An enhanced k-anonymity model for privacy preserving data publishing. In ACM SIGKDD, 2006.
25. X. Xiao and Y. Tao. Personalized privacy preservation. In ACM SIGMOD, June 2006.
26. C. Yao, X. S. Wang, and S. Jajodia. Checking for k-anonymity violation by views. In VLDB, 2005.