Database Anonymization

Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections

Häftad, Engelska, 2016

AvJosep Domingo-Ferrer,David Sánchez,Jordi Soria-Comas,David Sanchez

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we also explore the links between anonymization methods and privacy models (how anonymization methods can be used to enforce privacy models and thereby offer ex ante privacy guarantees).

Produktinformation

Utgivningsdatum2016-01-11
Mått191 x 235 x 13 mm
Vikt270 g
FormatHäftad
SpråkEngelska
SerieSynthesis Lectures on Information Security, Privacy, and Trust
Antal sidor120
FörlagSpringer International Publishing AG
ISBN9783031012198
OriginaltitelDatabase Anonymization

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Josep Domingo-Ferrer received an M.Sc. and a Ph.D. in computer science from the Autonomous University of Barcelona in 1988 and 1991, respectively. He also received an M.Sc. degree in mathematics. He is a Distinguished Professor of Computer Science and an ICREA-Acadèmia researcher at the Universitat Rovira i Virgili, Tarragona, Catalonia, where he holds the UNESCO Chair in Data Privacy. His research interests are in data privacy, data security, and cryptographic protocols. He is a Fellow of IEEE.David Sánchez received a Ph.D. in computer science from the Technical University of Catalonia. He also received an M.Sc. degree in computer science from the Universitat Rovira i Virgili, Tarragona, Catalonia, in 2003, where he is currently an Associate Professor of Computer Science. His research interests are in data semantics and data privacyJordi Soria-Comas received a B.Sc. degree in mathematics from the University of Barcelona in 2003, and an M.Sc. degree in finance from the Autonomous University of Barcelona in 2004. He received an M.Sc. degree in computer security in 2011, and a Ph.D. in computer science in 2013 from the Universitat Rovira i Virgili. He is a Director of Research at Universitat Rovira i Virgili. His research interests are in data privacy and security

Preface.- Acknowledgments.- Introduction.- Privacy in Data Releases.- Anonymization Methods for Microdata.- Quantifying Disclosure Risk: Record Linkage.- The k-Anonymity Privacy Model.- Beyond k-Anonymity: l-Diversity and t-Closeness.- t-Closeness Through Microaggregation.- Differential Privacy.- Differential Privacy by Multivariate Microaggregation.- Differential Privacy by Individual Ranking Microaggregation.- Conclusions and Research Directions.- Bibliography.- Authors' Biographies .