Enhanced Batch Generation Based Multilevel Trust Privacy Preserving in Data Mining

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
The motivation of Privacy Preserving Data Mining (PPDM) is to obtain valid data mining results without access to the original sensitive information. The different privacy preserving technique on perturbation based PPDM approach introduces random perturbation to individual values to preserve privacy before data are published. This proposed paper is based on perturbation based privacy preserving data mining. Here, random perturbation approach is applied to provide privacy on the dataset. Previously, privacy is limited to single level trust in providing privacy to the data but now it is enhanced to multi-level trust.

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