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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Bibliographic Details
Main Authors: Wang, Lingyu (Author), Jajodia, Sushil (Author), Wijesekera, Duminda (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US, 2007.
Series:Advances in Information Security, 29
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.