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Preserving Privacy in On-Line Analytical Processing (Olap) - (Advances in Information Security) (Hardcover)

Preserving Privacy in On-Line Analytical Processing (Olap) - (Advances in Information Security) (Hardcover) - 1 of 1
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About this item

Highlights

  • Addresses the privacy issue of On-Line Analytic Processing systems Details how to keep the performance overhead of these security methods at a reasonable level Examines how a balance between security, availability, and performance can feasibly be achieved in OLAP systems
  • Author(s): Lingyu Wang & Sushil Jajodia & Duminda Wijesekera
  • 180 Pages
  • Computers + Internet, Security
  • Series Name: Advances in Information Security

Description



About the Book



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.



Book Synopsis



Addresses the privacy issue of On-Line Analytic Processing systems

Details how to keep the performance overhead of these security methods at a reasonable level

Examines how a balance between security, availability, and performance can feasibly be achieved in OLAP systems



From the Back Cover



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.

Dimensions (Overall): 9.53 Inches (H) x 6.33 Inches (W) x .64 Inches (D)
Weight: .98 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 180
Genre: Computers + Internet
Sub-Genre: Security
Series Title: Advances in Information Security
Publisher: Springer
Theme: Cryptography
Format: Hardcover
Author: Lingyu Wang & Sushil Jajodia & Duminda Wijesekera
Language: English
Street Date: November 14, 2006
TCIN: 1006378263
UPC: 9780387462738
Item Number (DPCI): 247-09-4472
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.64 inches length x 6.33 inches width x 9.53 inches height
Estimated ship weight: 0.98 pounds
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