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Preserving Privacy in On-Line Analytical Processing (OLAP)

Preserving Privacy in On-Line Analytical Processing (OLAP)

Duminda Wijesekera / Lingyu Wang / Sushil Jajodia

133,01 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2006
Materia
Ciencias de la computación
ISBN:
9780387462738
133,01 €
IVA incluido
Disponible

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Sobre IBD

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.

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  • Preserving Privacy in On-Line Analytical Processing (OLAP)
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