| Publikationstyp: | Konferenz: Sonstiges |
| Art der Begutachtung: | Keine Begutachtung |
| Titel: | Anonymization and re-identification risk of personal data |
| Autor/-in: | Templ, Matthias |
| et. al: | No |
| Angaben zur Konferenz: | Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020 |
| Erscheinungsdatum: | 9-Nov-2020 |
| Sprache: | Englisch |
| Schlagwörter: | Anonymization |
| Fachgebiet (DDC): | 005: Computerprogrammierung, Programme und Daten |
| Zusammenfassung: | The demand for and volume of data from questionnaires/surveys, registers or other sources containing sensible information on persons or enterprises have been increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to data sets before release. Traditional approaches to (micro)data anonymization and statistical disclosure control include data perturbation methods, methods to quantify the disclosure risk, and methods to check the data utility of anonymized data sets. These traditional methods are enhanced by methods for the simulation of synthetic data sets. All methods should be able to deal with complex survey designs, missing values, hierarchical and cluster structures. In this colloquium lecture the topic of statistical disclosure control will be introduced to create awareness on this topic. The second part of the presentation discusses the state-of-the-art methods in selected topics on disclosure control and data anonymization." |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/21996 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Datenanalyse und Prozessdesign (IDP) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
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Zur Langanzeige
Templ, M. (2020, November 9). Anonymization and re-identification risk of personal data. Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
Templ, M. (2020) ‘Anonymization and re-identification risk of personal data’, in Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
M. Templ, “Anonymization and re-identification risk of personal data,” in Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020, Nov. 2020.
TEMPL, Matthias, 2020. Anonymization and re-identification risk of personal data. In: Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020. Conference presentation. 9 November 2020
Templ, Matthias. 2020. “Anonymization and Re-Identification Risk of Personal Data.” Conference presentation. In Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
Templ, Matthias. “Anonymization and Re-Identification Risk of Personal Data.” Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020, 2020.
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