Welcome to Project Solutions !

Project Solutions is the leading final year engineering project providers for IT and Computer Science students across India

Enabling Multilevel Trust in Privacy Preserving Data Mining

NameEnabling Multilevel Trust in Privacy Preserving Data Mining
Categorydata mining

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 are published. Previous solutions of this approach are limited in their tacit assumption of single-level trust on data miners. In this work, we relax this assumption and expand the scope of perturbation-based PPDM to Multilevel Trust (MLT-PPDM). In our setting, the more trusted a data miner is, the less perturbed copy of the data it can access. Under this setting, a malicious data miner may have access to differently perturbed copies of the same data through various means, and may combine these diverse copies to jointly infer additional information about the original data that the data owner does not intend to release. Preventing such diversity attacks is the key challenge of providing MLT-PPDM services.

is ieee
ieee paper year2012
price rangehigh
Share this google icon

Get a Call Back

related projects

more projects+


Total 0 comments.
    view all

Post your comment

(It will not be published)