Privacy and Anonymity in Information Management Systems
Jordi. Nin
Bok Engelsk 2010 · Electronic books.
| Annen tittel | |
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| Utgitt | Dordrecht : : Springer, , 2010.
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| Omfang | 1 online resource (200 p.)
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| Opplysninger | Description based upon print version of record.. - Foreword; Acknowledgments; Contents; Contributors; Part I Overview; 1 Introduction to Privacy and Anonymity in Information Management Systems; Javier Herranz and Jordi Nin; 1.1 Background and Motivation; 1.2 Organization of the Book; 1.2.1 Part II: Theory of SDC; 1.2.2 Part III: Preserving Privacy in Distributed Applications; 2 Advanced Privacy-Preserving Data Managementand Analysis; Alberto Trombetta, Wei Jiang, and Elisa Bertino; 2.1 Introduction; 2.2 Managing Anonymized Data; 2.2.1 Randomization-Based Anonymization Techniques; 2.2.2 Aggregation-Based Anonymization Techniques. - 2.3 Managing Time-Varying Anonymized Data2.3.1 Anonymizing Multiple Releases; 2.3.2 Anonymizing Data Streams; 2.4 Privacy-Preserving Data Analysis (PPDA); 2.4.1 Privacy-Preserving Association Rule Mining; 2.4.2 Privacy-Preserving Classification; 2.4.3 Privacy-Preserving Clustering; 2.5 Conclusions; References; Part II Theory of SDC; 3 Practical Applications in Statistical Disclosure ControlUsing R; Mathias Templ and Bernhard Meindl; 3.1 Microdata Protection Using sdcMicro; 3.1.1 Software Issues; 3.1.2 The sdcMicro GUI; 3.1.3 Anonymization of Categorical Variables. - 3.1.4 Anonymization of Numerical Variables3.1.5 Disclosure Risk; 3.1.6 Case Study Using Real-World Data; 3.2 Tabular Data Protection Using sdcTable; 3.2.1 Frequency and Magnitude Tables; 3.2.2 Primary Sensitive Cells; 3.2.3 Secondary Cell Suppression; 3.2.4 Software Issues; 3.2.5 Anonymizing Tables Using sdcTable -- A Guided Tour; 3.2.6 Summary; 3.3 Summary; References; 4 Disclosure Risk Assessment for Sample Microdata Through Probabilistic Modeling; Natalie Shlomo; 4.1 Introduction; 4.2 Disclosure Risk Measures and Their Estimation; 4.2.1 Notation and Definitions. - 4.2.2 Estimating the Disclosure Risk4.2.3 Model Selection and Goodness-of-Fit Criteria; 4.3 Complex Survey Designs; 4.4 Measurement Error Models for Disclosure Risk Measures; 4.5 Variance Estimation for Global Disclosure Risk Measures; 4.6 Examples of Applications; 4.6.1 Estimating Disclosure Risk Measures Under No Misclassification; 4.6.2 Estimating Disclosure Risk Measures Under Misclassification; 4.6.3 Variance Estimation and Confidence Intervals; 4.7 Extensions to Probabilistic Modeling for Disclosure Risk Estimation; References. - 5 Exploiting Auxiliary Information in the Estimation of Per-Record Risk of DisclosureSilvia Polettini and Loredana di Consiglio; 5.1 Introduction; 5.2 Risk Measures and Models for Risk Estimation; 5.2.1 Superpopulation Models for Risk Estimation with Survey Data; 5.2.2 SPREE-Type Estimators for Cross-Classifications; 5.3 Simulation Plan and Data; 5.4 Risk Estimators and Simulation Results; 5.5 Comments; References; 6 Statistical Disclosure Control in Tabular Data; Jordi Castro; 6.1 Introduction; 6.2 Tabular Data: Types and Modeling; 6.2.1 Classification of Tables. - 6.2.2 Modeling Tables. - The development of information technologies in the last few years has been remarkable. Large amounts of data are collected and stored by both public institutions and private companies every day. There are clear threats to the privacy of citizens if no care is taken when collecting, storing and disseminating data. Ensuring privacy for individuals in a society when dealing with digital information, is a task which involves many agents, including politicians, legal authorities, managers, developers, and system administrators. ""Privacy and Anonymity in Information Management Systems"" deals with
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 9781849962377
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