论文信息 - On the Security of Noise Addition for Privacy in Statistical Databases

On the Security of Noise Addition for Privacy in Statistical Databases

Noise addition is a family of methods used in the protection of the privacy of individual data (microdata) in statistical databases. This paper is a critical analysis of the security of the methods in that family.

[1] Norman S. Matloff,et al. A modified random perturbation method for database security , 1994, TODS.

[2] Ruth Brand,et al. Microdata Protection through Noise Addition , 2002, Inference Control in Statistical Databases.

[3] Wayne A. Fuller,et al. The use of added error to avoid disclosure in microdata releases , 1989 .

[4] Charu C. Aggarwal,et al. On the design and quantification of privacy preserving data mining algorithms , 2001, PODS.

[5] P. Doyle,et al. Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies , 2001 .

[6] Qi Wang,et al. On the privacy preserving properties of random data perturbation techniques , 2003, Third IEEE International Conference on Data Mining.

[7] L. Willenborg,et al. Elements of Statistical Disclosure Control , 2000 .

[8] Yehuda Lindell,et al. Privacy Preserving Data Mining , 2002, Journal of Cryptology.

[9] Jay-J. Kim. A METHOD FOR LIMITING DISCLOSURE IN MICRODATA BASED ON RANDOM NOISE AND , 2002 .

[10] Josep Domingo-Ferrer,et al. Inference Control in Statistical Databases , 2002, Lecture Notes in Computer Science.

[11] P. Tendick. Optimal noise addition for preserving confidentiality in multivariate data , 1991 .