LEADER 07593nam 22008655 450 001 996466234503316 005 20200629183707.0 010 $a1-280-30771-4 010 $a9786610307715 010 $a3-540-25955-4 024 7 $a10.1007/b97945 035 $a(CKB)1000000000212394 035 $a(DE-He213)978-3-540-25955-8 035 $a(SSID)ssj0000227585 035 $a(PQKBManifestationID)11225770 035 $a(PQKBTitleCode)TC0000227585 035 $a(PQKBWorkID)10264417 035 $a(PQKB)10106395 035 $a(MiAaPQ)EBC3087404 035 $a(PPN)155188046 035 $a(EXLCZ)991000000000212394 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPrivacy in Statistical Databases$b[electronic resource] $eCASC Project International Workshop, PSD 2004, Barcelona, Spain, June 9-11, 2004, Proceedings /$fedited by Josep Domingo-Ferrer, Vicenc Torra 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (X, 374 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v3050 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-22118-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aFoundations 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. 330 $aPrivacy in statistical databases is about ?nding tradeo?s to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises, which are the source of the statistical data. Statistical agencies cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed; also, recent surveys of Web users show that a majority of these are unwilling to provide data to a Web site unless they know that privacy protection measures are in place. ?Privacy in Statistical Databases2004? (PSD2004) was the ?nal conference of the CASC project (?Computational Aspects of Statistical Con?dentiality?, IST-2000-25069). PSD2004 is in the style of the following conferences: ?Stat- tical Data Protection?, held in Lisbon in 1998 and with proceedings published by the O?ce of O?cial Publications of the EC, and also the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published by Springer-Verlag, as LNCS Vol. 2316. The Program Committee accepted 29 papers out of 44 submissions from 15 di?erentcountriesonfourcontinents.Eachsubmittedpaperreceivedatleasttwo reviews. These proceedings contain the revised versions of the accepted papers. These papers cover the foundations and methods of tabular data protection, masking methods for the protection of individual data (microdata), synthetic data generation, disclosure risk analysis, and software/case studies. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v3050 606 $aData structures (Computer science) 606 $aData encryption (Computer science) 606 $aDatabase management 606 $aMathematical statistics 606 $aComputers and civilization 606 $aComputers 606 $aLaw and legislation 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aCryptology$3https://scigraph.springernature.com/ontologies/product-market-codes/I28020 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aComputers and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/I24040 606 $aLegal Aspects of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I24059 615 0$aData structures (Computer science). 615 0$aData encryption (Computer science). 615 0$aDatabase management. 615 0$aMathematical statistics. 615 0$aComputers and civilization. 615 0$aComputers. 615 0$aLaw and legislation. 615 14$aData Structures and Information Theory. 615 24$aCryptology. 615 24$aDatabase Management. 615 24$aProbability and Statistics in Computer Science. 615 24$aComputers and Society. 615 24$aLegal Aspects of Computing. 676 $a005.8 702 $aDomingo-Ferrer$b Josep$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTorra$b Vicenc$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aPSD 2004 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466234503316 996 $aPrivacy in Statistical Databases$9772125 997 $aUNISA