Query Processing In Private Data Outsourcing Using Anonymization

We present a query processing scheme in a private data out-sourcing model. We assume data is divided into identifying and sensitive data using an anatomy approach[20]; only the client is able to reconstruct the original identifiable data. The key contribution of this paper is a relational query processor that minimizes the client-side computation while ensuring the server learns nothing violating the privacy constraints.