We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (rand...
Rakesh Agrawal, Ramakrishnan Srikant, Dilys Thomas
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...
Numerous privacy models based on the kanonymity property and extending the kanonymity model have been introduced in the last few years in data privacy re search: ldiversity, psen...
Alina Campan, Traian Marius Truta, Nicholas Cooper
We propose a system called "Privacy Policy Matching Engine", which enables a matching of a user's intention to provide his/her identity-related data and enterprises...
Given the threat of re-identification in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a difficult problem. ...