Secure anonymization for incremental datasets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4165 LNCS, Issue , 2006, Pages 48-63

  Byun, Ji Won ^a   Sohn, Yonglak ^b   Bertino, Elisa ^a   Li, Ninghui ^a  

^a PURDUE UNIVERSITY   (United States)

^b Seokyeong University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); DATA PRIVACY; DATA STRUCTURES; INFERENCE ENGINES; QUALITY OF SERVICE;

DATA ANONYMIZATION TECHNIQUES; DATA QUALITY; DATA RELEASE; K-ANONYMITY MODEL;

DATABASE SYSTEMS;

EID: 33750732631     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11844662_4     Document Type: Conference Paper

References (24)

1. N. Adam and J. Wortmann. Security-control methods for statistical databases: A comparative study. ACM Computing Surveys, 21, 1989.
2. R. Agrawal, A. Evfimievski, and R. Srikant. Information sharing across private databases. In ACM International Conference on Management of Data, 2003.
3. R. J. Bayardo and R. Agrawal. Data privacy through optimal k-anonymization. In the 21st International Conference on Data Engineering, 2005.
4. T. Dalenius. Finding a needle in a haystack. Journal of Official Statistics, 2, 1986.
5. D.E. Denning. Cryptography and Data Security. Addison-Wesley, 1982.
6. D. Dobkin, A. K. Jones, and R. J. Lipton. Secure databases: Protection against user influence. ACM Transactions on Database systems, 4, 1979.
7. X. Dong, A. Halevy, J. Madhavan, and E. Nemes. Reference reconciliation in complex information spaces. In ACM International Conference on Management of Data, 2005.
8. I. P. Fellegi. On the question of statistical confidentiality. Journal of the American Statistical Association, 1972.
9. I. P. Fellegi and A. B. Sunter. A theory for record linkage. Journal of the American Statistical Association, 1969.
10. B. C. M. Fung, K. Wang, and P. S. Yu. Top-down specialization for information and privacy preservation. In the 21st International Conference on Data Engineering, 2005.
11. V. S. Iyengar. Transforming data to satisfy privacy constraints. In ACM Conference on Knowledge Discovery and Data mining, 2002.
12. D. Lambert. Measures of disclosure risk and harm. Journal of Official Statistics, 9, 1993.
13. K. LeFevre, D. DeWitt, and R. Ramakrishnan. Incognito: Efficient full-domain k-anonymity. In ACM International Conference on Management of Data, 2005.
14. K. LeFevre, D. DeWitt, and R. Ramakrishnan. Mondrian multidimensional k-anonymity. In the 22nd International Conference on Data Engineering, 2006.
15. C. K. Liew, U. J. Choi, and C. J. Liew. A data distortion by probability distribution. ACM Transactions on Database Systems, 10, 1985.
16. A. Machanavajjhala, J. Gehrke, D. Kifer, and M. Venkitasubramaniam. ℓ-diversity: Privacy beyond k-anonymity. In the 22nd International Conference on Data Engineering, 2006.
17. S. P. Reiss. Practical data-swapping: The first steps. ACM Transactions on Database Systems, 9, 1980.
18. C. B. S. Hettich and C. Merz. UCI repository of machine learning databases, 1998.
19. S. Sarawagi and A. Bhamidipaty. Interactive deduplication using active learning. In ACM International Conference on Knowledge Discovery and Data Mining, 2002.
20. R. Srikant and R. Agrawal. Mining quantitative association rules in large relational tables. In ACM International Conference on Management of Data, 1996.
21. L. Sweeney. Achieving k-anonymity privacy protection using generalization and suppression. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 2002.
22. L. Sweeney. K-anonymity: A model for protecting privacy. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 2002.
23. J. F. Traub and Y. Y. H. Wozniakowski. The statistical security of statistical database. ACM Transactions on Database Systems, 9, 1984.
24. J. Vaidya and C. Clifton. Privacy preserving association rule mining in vertically partitioned data. In ACM International Conference on Knowledge Discovery and Data Mining, 2002.