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...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2007, 2007
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| Edition: | 1st ed. 2007 |
| Series: | Advances in Information Security
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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