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001 978-3-540-47804-1
003 DE-He213
005 20240423132554.0
007 cr nn 008mamaa
008 121227s2002 gw | s |||| 0|eng d
020 _a9783540478041
_9978-3-540-47804-1
024 7 _a10.1007/3-540-47804-3
_2doi
050 4 _aQA76.9.A25
072 7 _aUR
_2bicssc
072 7 _aUTN
_2bicssc
072 7 _aCOM053000
_2bisacsh
072 7 _aUR
_2thema
072 7 _aUTN
_2thema
082 0 4 _a005.8
_223
245 1 0 _aInference Control in Statistical Databases
_h[electronic resource] :
_bFrom Theory to Practice /
_cedited by Josep Domingo-Ferrer.
250 _a1st ed. 2002.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2002.
300 _aVIII, 231 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2316
505 0 _aAdvances in Inference Control in Statistical Databases: An Overview -- Advances in Inference Control in Statistical Databases: An Overview -- Tabular Data Protection -- Cell Suppression: Experience and Theory -- Bounds on Entries in 3-Dimensional Contingency Tables Subject to Given Marginal Totals -- Extending Cell Suppression to Protect Tabular Data against Several Attackers -- Network Flows Heuristics for Complementary Cell Suppression: An Empirical Evaluation and Extensions -- HiTaS: A Heuristic Approach to Cell Suppression in Hierarchical Tables -- Microdata Protection -- Model Based Disclosure Protection -- Microdata Protection through Noise Addition -- Sensitive Micro Data Protection Using Latin Hypercube Sampling Technique -- Integrating File and Record Level Disclosure Risk Assessment -- Disclosure Risk Assessment in Perturbative Microdata Protection -- LHS-Based Hybrid Microdata vs Rank Swapping and Microaggregation for Numeric Microdata Protection -- Post-Masking Optimization of the Tradeoff between Information Loss and Disclosure Risk in Masked Microdata Sets -- Software and User Case Studies -- The CASC Project -- Tools and Strategies to Protect Multiple Tables with the GHQUAR Cell Suppression Engine -- SDC in the 2000 U.S. Decennial Census -- Applications of Statistical Disclosure Control at Statistics Netherlands -- Empirical Evidences on Protecting Population Uniqueness at Idescat.
520 _aInference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.
650 0 _aData protection.
650 0 _aCryptography.
650 0 _aData encryption (Computer science).
650 0 _aComputer science
_xMathematics.
650 0 _aMathematical statistics.
650 0 _aDatabase management.
650 0 _aComputers and civilization.
650 0 _aArtificial intelligence.
650 1 4 _aData and Information Security.
650 2 4 _aCryptology.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aDatabase Management.
650 2 4 _aComputers and Society.
650 2 4 _aArtificial Intelligence.
700 1 _aDomingo-Ferrer, Josep.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540436140
776 0 8 _iPrinted edition:
_z9783540829706
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2316
856 4 0 _uhttps://doi.org/10.1007/3-540-47804-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
912 _aZDB-2-BAE
942 _cSPRINGER
999 _c189261
_d189261