Preserving Privacy in On-Line Analytical Processing (OLAP)

• Κύριοι συγγραφείς: Wang, Lingyu (Συγγραφέας), Jajodia, Sushil (Συγγραφέας), Wijesekera, Duminda (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2007.
• Σειρά: Advances in Information Security, 29
• Θέματα: Computer science.; Computer communication systems.; Data structures (Computer science).; Data encryption (Computer science).; Database management.; Computer Science.; Data Structures, Cryptology and Information Theory.; Data Encryption.; Database Management.; Information Systems Applications (incl. Internet).; Computer Communication Networks.

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...

Πίνακας περιεχομένων:

• 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.