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Inference Control in Statistical Databases

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Cover of 'Inference Control in Statistical Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Advances in Inference Control in Statistical Databases: An Overview
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    Chapter 2 Cell Suppression: Experience and Theory
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    Chapter 3 Bounds on Entries in 3-Dimensional Contingency Tables Subject to Given Marginal Totals
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    Chapter 4 Extending Cell Suppression to Protect Tabular Data against Several Attackers
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    Chapter 5 Network Flows Heuristics for Complementary Cell Suppression: An Empirical Evaluation and Extensions
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    Chapter 6 HiTaS: A Heuristic Approach to Cell Suppression in Hierarchical Tables
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    Chapter 7 Model Based Disclosure Protection
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    Chapter 8 Microdata Protection through Noise Addition
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    Chapter 9 Sensitive Micro Data Protection Using Latin Hypercube Sampling Technique
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    Chapter 10 Integrating File and Record Level Disclosure Risk Assessment
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    Chapter 11 Disclosure Risk Assessment in Perturbative Microdata Protection
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    Chapter 12 LHS-Based Hybrid Microdata vs Rank Swapping and Microaggregation for Numeric Microdata Protection
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    Chapter 13 Post-Masking Optimization of the Tradeoff between Information Loss and Disclosure Risk in Masked Microdata Sets
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    Chapter 14 The CASC Project
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    Chapter 15 Tools and Strategies to Protect Multiple Tables with the GHQUAR Cell Suppression Engine
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    Chapter 16 SDC in the 2000 U.S. Decennial Census
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    Chapter 17 Applications of Statistical Disclosure Control at Statistics Netherlands
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    Chapter 18 Empirical Evidences on Protecting Population Uniqueness at Idescat
Attention for Chapter 8: Microdata Protection through Noise Addition
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Chapter title
Microdata Protection through Noise Addition
Chapter number 8
Book title
Inference Control in Statistical Databases
Published by
Springer, Berlin, Heidelberg, January 2002
DOI 10.1007/3-540-47804-3_8
Book ISBNs
978-3-54-043614-0, 978-3-54-047804-1
Authors

Ruth Brand, Brand, Ruth

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 6%
United States 1 3%
Canada 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 32%
Student > Ph. D. Student 8 26%
Student > Bachelor 3 10%
Lecturer 3 10%
Student > Master 1 3%
Other 1 3%
Unknown 5 16%
Readers by discipline Count As %
Computer Science 13 42%
Engineering 3 10%
Agricultural and Biological Sciences 2 6%
Mathematics 2 6%
Physics and Astronomy 1 3%
Other 3 10%
Unknown 7 23%