Enabling Multi-level Trust in Privacy Preserving Data Mining

  title={Enabling Multi-level Trust in Privacy Preserving Data Mining},
  author={Yaping Li and Minghua Chen and Qiwei Li and Wei Zhang},
Privacy Preserving Data Mining (PPDM) addresses the problem of developing accurate models about aggregated data without access to precise information in individual data record. A widely studied perturbation-based PPDM approach introduces random perturbation to individual values to preserve privacy before data is published. Previous solutions of this approach are limited in their tacit assumption of a single-level trust on data miners. In this work, we relax this assumption and expand the scope… CONTINUE READING