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Preserving privacy in On-Line Analytical Processing (OLAP)

Author: Lingyu Wang; Sushil Jajodia; Duminda Wijesekera
Publisher: New York : Springer, 2007.
Series: Advances in information security, v. 29.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Wang, Lingyu.
Preserving privacy in On-Line Analytical Processing (OLAP).
New York : Springer, 2007
(DLC) 2006934196
(OCoLC)85443440
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Lingyu Wang; Sushil Jajodia; Duminda Wijesekera
ISBN: 9780387462745 0387462740 0387462732 9780387462738
OCLC Number: 184984769
Description: 1 online resource (xi, 180 pages).
Contents: Introduction --
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.
Series Title: Advances in information security, v. 29.
Responsibility: by Lingyu Wang, Sushil Jajodia, Duminda Wijesekera.
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Abstract:

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  Read more...

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