Survey on privacy preserving data mining

International Journal of Digital Content Technology and its Applications

Volumn 4, Issue 9, 2010, Pages 1-7

  Wang, Pingshui ^a  

^a ANHUI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

K anonymity; Privacy; Privacy preserving data mining; Randomization; Secure multiparty computation

Indexed keywords

DATA MINING; DIGITAL STORAGE; SURVEYS;

DATA PROCESSING TECHNOLOGIES; K-ANONYMITY; NUMBER OF METHODS; PRIVACY PRESERVATION; PRIVACY PRESERVING DATA MINING; PRIVACY-PRESERVING DATA MINING ALGORITHMS; RANDOMIZATION; SECURE MULTI-PARTY COMPUTATION;

DATA PRIVACY;

EID: 78751480665     PISSN: 19759339     EISSN: None     Source Type: Journal    
DOI: 10.4156/jdcta.vol4.issue9.1     Document Type: Article

References (38)

1. Han Jiawei, M. Kamber, Data Mining: Concepts and Techniques, Beijing: China Machine Press, pp.1-40,2006.
2. V.S. Verykios, E. Bertino, I.N. Fovino, L.P. Provenza, Y. Saygin, Y. Theodoridis, "State-of-the-art in Privacy Preserving Data Mining", New York, ACM SIGMOD Record, vol.33, no.2, pp.50-57,2004.
3. N. Zhang, "Privacy-Preserving Data Mining", Texas A&M University, pp.19-25, 2006.
4. R. Agrawal, R. Srikant, "Privacy-Preserving Data Mining", ACM SIGMOD Record, New York, vol.29, no.2, pp.439-450,2000.
5. A. Evfimievski, R. Srikant, R. Agrawal, J. Gehrke, "Privacy Preserving Mining of Association Rules", Information System, vol.29, no.4, pp.343-364,2004.
6. rd International Conference on Data Mining, pp.99-106, 2003.
7. Z. Huang, W. Du, B. Chen, "Deriving Private Information from Randomized Data", In Proceedings of the ACM SIGMOD Conference on Management of Data, Baltimore, Maryland, USA, pp.37-48, 2005.
8. rd ACM SIGMOD-SIGACTSIGART Symposium on Principles of Database Systems, pp.247-255, 2001.
9. A. Evfimievski, R. Srikant, R. Agrawal, J. Gehrk, "Privacy Preserving Mining of Association Rules", In Proceedings the 8th ACM SIGKDD International Conference on Knowledge Discovery in Databases and Data Mining, pp.217-228, 2002.
10. rd International Conference on Very Large Data Bases, pp.682-693, 2002.
11. S. L. Warner, "Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias", J. Am. Stat. Assoc., vol.60, no.309, pp.63-69,1965.
12. rd VLDB conference, pp.1-12, 2002.
13. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.505-510, 2003.
14. rd European Conference on Principles and Practice of Knowledge Discovery in Databases, pp.103-114, 2007.
15. L. Sweeney, "k-Anonymity: A Model for Protecting Privacy", International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, vol.10, no.5, pp.557-570,2002.
16. st International Conference on Data Engineering, pp.217-228, 2005.
17. K. Lefevre, J. Dewittd, R. Ramakrishnan, "Incognito: Efficient Full-Domain k-Anonymity", In Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp.49-60, 2005.
18. st IEEE International Conference on Data Engineering, pp.205-216, 2005.
19. L. Sweeney, "Achieving k-Anonymity Privacy Protection Using Generalization and Suppression", International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, vol.10, no.5, pp.571-588,2002.
20. A. Machanavajjhala, J. Gehrke, D. Kifer, "l-Diversity: Privacy Beyond k-Anonymity", ACM Transactions on Knowledge Discovery from Data, pp.24-35,2007.
21. nd International Conference on Data Engineering Workshops, pp. 94-103, 2006.
22. R.C. Wong, J.Y. Li, A.W. Fu, "(a, k)-Anonymity: An Enhanced k-Anonymity Model for Privacy-Preserving Data Publishing", In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.754-759, 2006.
23. rd International Conference on Data Engineering, pp.106-115, 2007.
24. X.K. xiao, Y.F. Tao, "M-Invariance: Towards Privacy Preserving Re-Publication of Dynamic Datasets", In Proceedings of the ACM Conference on Management of Data (SIGMOD), pp.689-700, 2007.
25. X.K. Xiao, Y.F. Tao, "Personalized Privacy Preservation", In Proceedings of the ACM Conference on Management of Data (SIGMOD), pp.229-240, 2006.
26. G. Loukides, J.H. Shao, "An Efficient Clustering Algorithm for k-Anonymisation", International Journal of Computer Science And Technology,vol.23, no.2, pp.188-202, 2008.
27. J.L. Lin, M.C. Wei, "Genetic Algorithm-Based Clustering Approach for k-Anonymization", International Journal of Expert Systems with Applications,vol.36, no.6, pp.9784-9792, 2009.
28. L.J. Lu, X.J. Ye, "An Improved Weighted-Feature Clustering Algorithm for k-Anonymity", In Proceedings of the 5th International Conference on Information Assurance and Security, pp.415-419, 2009.
29. Z.H. Wang, J. Xu, W. Wang, B.L. Shi, "Clustering-Based Approach for Data Anonymization", Journal of Software,vol.21, no.4, pp.680-693, 2010.
30. M. Kantarcioglu, C. Clifton, "Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data", IEEE Transactions on Knowledge and Data Engineering, vol.16, no.9, pp.1026-1037, 2004.
31. Lindell, Yehuda, Pinkas, "Privacy preserving data mining", In Proceedings of the Advances in Cryptology-CRYPTO, pp.36-54,2000.
32. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.639-644, 2002.
33. st International Conference on Parallel Processing, pp.379-384, 2002.
34. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.639-644, 2002.
35. W.L. Du, Z.J. Zhan, "Building Decision Tree Classifier on Private Data", In Proceedings of the IEEE International Conference on Data Mining Workshop on Privacy, Security, and Data Mining, pp.1-8, 2002.
36. J. Vaidya, C. Clifton, "Privacy Preserving Naive Bayes Classifier for Vertically Partitioned Data", In Proceedings of the 2004 SIAM International Conference on Data Mining, pp.522-526, 2004.
37. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.206-215, 2003.
38. th IEEE Symposium on Foundations of Computer Science, pp.162-167, 1986.