Computers & Internet Books:

Preserving Privacy in On-Line Analytical Processing (OLAP)

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Description

Preserving Privacy for On-Line Analytical Processing 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. Preserving Privacy for On-Line Analytical Processing is appropriate for practitioners in industry as well as graduate-level students in computer science and engineering.  
Release date NZ
November 19th, 2010
Pages
180
Edition
Softcover reprint of hardcover 1st ed. 2007
Audience
  • Professional & Vocational
Illustrations
20 Illustrations, black and white; XII, 180 p. 20 illus.
Dimensions
156x234x10
ISBN-13
9781441942784
Product ID
11157799

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