Data Separations for Providing Multilevel Trust in Privacy Preserving Data Mining

Provided by: International Journal of Advanced Research in Computer Science & Technology (IJARCST)
Topic: Data Management
Format: PDF
To preserve the privacy in data mining, random perturbation method for individual value is introduced. This Perturbation method is used before the data are published to third parties for mining purposes. The Existing (Privacy Preserving Data Mining) PPDM approach assumes that single level trust on data miners. From the single level trust, a data owner generates only one perturbed copy of its data with a fixed amount of uncertainty. The proposed approach of the PPDM introduces the multilevel trust on data miners.

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