Preserving Privacy in On-Line Analytical Processing (OLAP)

Name: Preserving Privacy in On-Line Analytical Processing (OLAP)
Brand: Springer, Berlin
SKU: 9780387462738
Price: 2567 CZK
Availability: InStock

Autor: Lingyu Wang, Sushil Jajodia, Duminda Wijesekera

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele v malém množství

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2 567 Kč

Preserving Privacy for On-Line Analytical Processing addresses the privacy issue of On-Line Analytic...

Informace o knize

Autor

Lingyu Wang, Sushil Jajodia, Duminda Wijesekera

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2006

Stránek

180

EAN

9780387462738

ISBN

0387462732

Enbook ID

01382189

Vydavatel

Springer, Berlin

Hmotnost

457

Rozměry

155 x 235 x 12

Kompletní popis

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.

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Preserving Privacy in On-Line Analytical Processing (OLAP)

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Kompletní popis

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