Preserving Privacy In On Line Analytical Processing Olap

Download or read book Preserving Privacy in On-Line Analytical Processing (OLAP) written by Lingyu Wang and published by Springer Science & Business Media. This book was released on 2007-04-06 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. OLAP systems usually need to meet two conflicting goals. First, the sensitive data stored in underlying data warehouses must be kept secret. Second, analytical queries about the data must be allowed for decision support purposes. The main challenge is that sensitive data can be inferred from answers to seemingly innocent aggregations of the data. This volume reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data.