Abstract
We present a query processing scheme in a private data outsourcing 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. © 2011 IFIP International Federation for Information Processing.
Author supplied keywords
Cite
CITATION STYLE
Nergiz, A. E., & Clifton, C. (2011). Query processing in private data outsourcing using anonymization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6818 LNCS, pp. 138–153). https://doi.org/10.1007/978-3-642-22348-8_12
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.