The Resource Privacy in Statistical Databases : CASC Project International Workshop, PSD 2004, Barcelona, Spain, June 9-11, 2004, Proceedings, edited by Josep Domingo-Ferrer, Vicenc Torra, (electronic resource)

Privacy in Statistical Databases : CASC Project International Workshop, PSD 2004, Barcelona, Spain, June 9-11, 2004, Proceedings, edited by Josep Domingo-Ferrer, Vicenc Torra, (electronic resource)

Label
Privacy in Statistical Databases : CASC Project International Workshop, PSD 2004, Barcelona, Spain, June 9-11, 2004, Proceedings
Title
Privacy in Statistical Databases
Title remainder
CASC Project International Workshop, PSD 2004, Barcelona, Spain, June 9-11, 2004, Proceedings
Statement of responsibility
edited by Josep Domingo-Ferrer, Vicenc Torra
Creator
Contributor
Editor
Editor
Subject
Language
  • eng
  • eng
Summary
Privacy in statistical databases is about ?nding tradeo?s to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises, which are the source of the statistical data. Statistical agencies cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed; also, recent surveys of Web users show that a majority of these are unwilling to provide data to a Web site unless they know that privacy protection measures are in place. “Privacy in Statistical Databases2004” (PSD2004) was the ?nal conference of the CASC project (“Computational Aspects of Statistical Con?dentiality”, IST-2000-25069). PSD2004 is in the style of the following conferences: “Stat- tical Data Protection”, held in Lisbon in 1998 and with proceedings published by the O?ce of O?cial Publications of the EC, and also the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published by Springer-Verlag, as LNCS Vol. 2316. The Program Committee accepted 29 papers out of 44 submissions from 15 di?erentcountriesonfourcontinents.Eachsubmittedpaperreceivedatleasttwo reviews. These proceedings contain the revised versions of the accepted papers. These papers cover the foundations and methods of tabular data protection, masking methods for the protection of individual data (microdata), synthetic data generation, disclosure risk analysis, and software/case studies
Member of
http://bibfra.me/vocab/relation/corporateauthor
JbYsP_S38e8
Dewey number
005.74
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • 98kLr5m1KgQ
  • yHWGIqVetus
Image bit depth
0
Language note
English
LC call number
  • QA76.9.D35
  • Q350-390
Literary form
non fiction
Nature of contents
dictionaries
http://bibfra.me/vocab/lite/organizationName
PSD 2004
http://library.link/vocab/relatedWorkOrContributorName
  • PSD 2004
  • Domingo-Ferrer, Josep.
  • Torra, Vicenc.
Series statement
Lecture Notes in Computer Science,
Series volume
3050
http://library.link/vocab/subjectName
  • Data structures (Computer science)
  • Data encryption (Computer science)
  • Database management
  • Mathematical statistics
  • Computers and civilization
  • Computers
  • Law and legislation
  • Data Structures and Information Theory
  • Cryptology
  • Database Management
  • Probability and Statistics in Computer Science
  • Computers and Society
  • Legal Aspects of Computing
Label
Privacy in Statistical Databases : CASC Project International Workshop, PSD 2004, Barcelona, Spain, June 9-11, 2004, Proceedings, edited by Josep Domingo-Ferrer, Vicenc Torra, (electronic resource)
Instantiates
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Foundations of Tabular Protection -- Survey on Methods for Tabular Data Protection in ARGUS -- Data Swapping: Variations on a Theme by Dalenius and Reiss -- Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies -- Methods for Tabular Protection -- A New Tool for Applying Controlled Rounding to a Statistical Table in Microsoft Excel -- Getting the Best Results in Controlled Rounding with the Least Effort -- Computational Experiments with Minimum-Distance Controlled Perturbation Methods -- Balancing Quality and Confidentiality for Multivariate Tabular Data -- Reducing the Set of Tables ? -ARGUS Considers in a Hierarchical Setting -- Approaches to Identify the Amount of Publishable Information in Business Surveys through Waivers -- Maximum Utility-Minimum Information Loss Table Server Design for Statistical Disclosure Control of Tabular Data -- A Fast Network Flows Heuristic for Cell Suppression in Positive Tables -- Masking for Microdata Protection -- On the Security of Noise Addition for Privacy in Statistical Databases -- Microaggregation for Categorical Variables: A Median Based Approach -- Evaluating Fuzzy Clustering Algorithms for Microdata Protection -- To Blank or Not to Blank? A Comparison of the Effects of Disclosure Limitation Methods on Nonlinear Regression Estimates -- Outlier Protection in Continuous Microdata Masking -- Risk in Microdata Protection -- Re-identification Methods for Masked Microdata -- Masking and Re-identification Methods for Public-Use Microdata: Overview and Research Problems -- A Bayesian Hierarchical Model Approach to Risk Estimation in Statistical Disclosure Limitation -- Individual Risk Estimation in ?-Argus: A Review -- Analysis of Re-identification Risk Based on Log-Linear Models -- Synthetic Data -- New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers -- Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data -- Fast Generation of Accurate Synthetic Microdata -- Software and Case Studies -- Trade-Off between Disclosure Risk and Information Loss Using Multivariate Microaggregation: A Case Study on Business Data -- The ARGUS Software in the CASC-Project -- Different Grades of Statistical Disclosure Control Correlated with German Statistics Law -- Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience -- Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
Dimensions
unknown
Edition
1st ed. 2004.
Extent
1 online resource (X, 374 p.)
File format
multiple file formats
Form of item
online
Isbn
9786610307715
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/b97945
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)1000000000212394
  • (DE-He213)978-3-540-25955-8
  • (SSID)ssj0000227585
  • (PQKBManifestationID)11225770
  • (PQKBTitleCode)TC0000227585
  • (PQKBWorkID)10264417
  • (PQKB)10106395
  • (MiAaPQ)EBC3087404
  • (EXLCZ)991000000000212394
Label
Privacy in Statistical Databases : CASC Project International Workshop, PSD 2004, Barcelona, Spain, June 9-11, 2004, Proceedings, edited by Josep Domingo-Ferrer, Vicenc Torra, (electronic resource)
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Foundations of Tabular Protection -- Survey on Methods for Tabular Data Protection in ARGUS -- Data Swapping: Variations on a Theme by Dalenius and Reiss -- Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies -- Methods for Tabular Protection -- A New Tool for Applying Controlled Rounding to a Statistical Table in Microsoft Excel -- Getting the Best Results in Controlled Rounding with the Least Effort -- Computational Experiments with Minimum-Distance Controlled Perturbation Methods -- Balancing Quality and Confidentiality for Multivariate Tabular Data -- Reducing the Set of Tables ? -ARGUS Considers in a Hierarchical Setting -- Approaches to Identify the Amount of Publishable Information in Business Surveys through Waivers -- Maximum Utility-Minimum Information Loss Table Server Design for Statistical Disclosure Control of Tabular Data -- A Fast Network Flows Heuristic for Cell Suppression in Positive Tables -- Masking for Microdata Protection -- On the Security of Noise Addition for Privacy in Statistical Databases -- Microaggregation for Categorical Variables: A Median Based Approach -- Evaluating Fuzzy Clustering Algorithms for Microdata Protection -- To Blank or Not to Blank? A Comparison of the Effects of Disclosure Limitation Methods on Nonlinear Regression Estimates -- Outlier Protection in Continuous Microdata Masking -- Risk in Microdata Protection -- Re-identification Methods for Masked Microdata -- Masking and Re-identification Methods for Public-Use Microdata: Overview and Research Problems -- A Bayesian Hierarchical Model Approach to Risk Estimation in Statistical Disclosure Limitation -- Individual Risk Estimation in ?-Argus: A Review -- Analysis of Re-identification Risk Based on Log-Linear Models -- Synthetic Data -- New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers -- Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data -- Fast Generation of Accurate Synthetic Microdata -- Software and Case Studies -- Trade-Off between Disclosure Risk and Information Loss Using Multivariate Microaggregation: A Case Study on Business Data -- The ARGUS Software in the CASC-Project -- Different Grades of Statistical Disclosure Control Correlated with German Statistics Law -- Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience -- Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
Dimensions
unknown
Edition
1st ed. 2004.
Extent
1 online resource (X, 374 p.)
File format
multiple file formats
Form of item
online
Isbn
9786610307715
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/b97945
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)1000000000212394
  • (DE-He213)978-3-540-25955-8
  • (SSID)ssj0000227585
  • (PQKBManifestationID)11225770
  • (PQKBTitleCode)TC0000227585
  • (PQKBWorkID)10264417
  • (PQKB)10106395
  • (MiAaPQ)EBC3087404
  • (EXLCZ)991000000000212394

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