Preserving Privacy in On-Line Analytical Processing (OLAP) (Hardcover, 2007 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Advances in Information Security, 29
Release date:	November 2006
First published:	2007
Authors:	Lingyu Wang • Sushil Jajodia • Duminda Wijesekera
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	180
Edition:	2007 ed.
ISBN-13:	978-0-387-46273-8
Categories:	Books > Computing & IT > Applications of computing > Databases > General
LSN:	0-387-46273-2
Barcode:	9780387462738

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