Title:
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PRESERVING PRIVACY IN ON-LINE ANALYTICAL PROCESSING (OLAP)
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By: |
Lingyu Wang, Sushil Jajodia, Duminda Wijesekera |
Format: |
Hardback |
List price:
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£113.00 |
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ISBN 10: |
0387462732 |
ISBN 13: |
9780387462738 |
Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
Pub. date: |
1 November, 2006 |
Series: |
Advances in Information Security v. 29 |
Pages: |
192 |
Description: |
This book addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. It reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data. |
Synopsis: |
This book addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. 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. This volume reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data. |
Illustrations: |
20 black & white illustrations, 10 black & white tables, biography |
Publication: |
US |
Imprint: |
Springer-Verlag New York Inc. |
Returns: |
Returnable |