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Preserving Privacy in On-Line Analytical Processing (OLAP): 29 (Advances in Information Security, 29) - Tapa dura

Libro 21 de 109: Advances in Information Security

Wijesekera, Duminda; Wang, Lingyu; Jajodia, Sushil

 
9780387462738: Preserving Privacy in On-Line Analytical Processing (OLAP): 29 (Advances in Information Security, 29)
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ISBN 10: 0387462732 ISBN 13: 9780387462738
Editorial: Springer, 2006

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

On-Line Analytic Processing (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. Existing inference control methods in statistical databases usually exhibit high performance overhead and limited effectiveness when applied to OLAP systems.

Preserving Privacy in On-Line Analytical Processing reviews a series of methods that can precisely answer data cube-style OLAP queries regarding sensitive data while provably preventing adversaries from inferring the data. How to keep the performance overhead of these security methods at a reasonable level is also addressed. Achieving a balance between security, availability, and performance is shown to be feasible in OLAP systems.

Preserving Privacy in On-Line Analytical Processing is designed for the professional market, composed of practitioners and researchers in industry. This book is also appropriate for graduate-level students in computer science and engineering.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2006
Idioma
Inglés
ISBN 10 
0387462732
ISBN 13 
9780387462738
Encuadernación
Tapa dura
Número de páginas
198
Contacto del fabricante
no disponible
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