TY  - BOOK
AU  - 
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Preserving Privacy in On-Line Analytical Processing (OLAP)
T2  - Advances in Information Security,
SN  - 9780387462745
AV  -  Libro electrónico 
U1  - 005.82 23
PY  - 2007///
CY  - Boston, MA
PB  - Springer US
KW  - Computer science
KW  - Computer Communication Networks
KW  - Data structures (Computer science)
KW  - Data encryption (Computer science)
KW  - Database management
KW  - Information systems
KW  - Computer Science
KW  - Data Encryption
KW  - Database Management
KW  - Information Systems Applications (incl.Internet)
KW  - Data Structures, Cryptology and Information Theory
N1  - 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; ZDB-2-SCS
N2  - 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 data can be inferred from answers to seemingly innocent aggregations of the data. Existing inference control methods in statistical databases usually exhibit high performance overhead and limited effectiveness when applied to OLAP systems. Preserving Privacy in On-Line Analytical Processing reviews a series of methods that can precisely answer data cube-style OLAP queries regarding sensitive data while provably preventing adversaries from inferring the data. How to keep the performance overhead of these security methods at a reasonable level is also addressed. Achieving a balance between security, availability, and performance is shown to be feasible in OLAP systems. Preserving Privacy in On-Line Analytical Processing is designed for the professional market, composed of practitioners and researchers in industry. This book is also appropriate for graduate-level students in computer science and engineering
UR  - http://dx.doi.org/10.1007/978-0-387-46274-5
ER  -