Preserving Privacy in On-Line Analytical Processing (OLAP)

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 dat...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Wang, Lingyu (Autor), Jajodia, Sushil (Autor), Wijesekera, Duminda (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Advances in Information Security, 29
Temas:
Data structures (Computer science).
Information theory.
Cryptography.
Data encryption (Computer science).
Database management.
Application software.
Computer networks .
Data Structures and Information Theory.
Cryptology.
Database Management.
Computer and Information Systems Applications.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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