Lingyu Wang, Sushil Jajodia, Duminda Wijesekera

Preserving Privacy in On-Line Analytical Processing (OLAP) (eBook, PDF)

• Format: PDF

Produktbeschreibung

Addresses the privacy issue of On-Line Analytic Processing systems

Details how to keep the performance overhead of these security methods at a reasonable level

Examines how a balance between security, availability, and performance can feasibly be achieved in OLAP systems

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 180
• Erscheinungstermin: 6. April 2007
• Englisch
• ISBN-13: 9780387462745
• Artikelnr.: 37288591

Autorenporträt

Addresses the privacy issue of On-Line Analytic Processing systems
Details how to keep the performance overhead of these security methods at a reasonable level
Examines how a balance between security, availability, and performance can feasibly be achieved in OLAP systems

Inhaltsangabe

OLAP and Data Cubes.- Inference Control in Statistical Databases.- Inferences in Data Cubes.- Cardinality-based Inference Control.- Parity-based Inference Control for Range Queries.- Lattice-based Inference Control in Data Cubes.- Query-driven Inference Control in Data Cubes.- Conclusion and Future Direction.