Podda, Emanuela
(2023)
Big data analysis systems in IoE environments for managing privacy and data protection: pseudonymity, de-anonymization and the right to be forgotten, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Law, science and technology, 35 Ciclo. DOI 10.48676/unibo/amsdottorato/10697.
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Abstract
The thesis represents the conclusive outcome of the European Joint Doctorate programmein Law, Science & Technology funded by the European Commission with the instrument Marie Skłodowska-Curie Innovative Training Networks actions inside of the H2020, grantagreement n. 814177.
The tension between data protection and privacy from one side, and the need of granting further uses of processed personal datails is investigated, drawing the lines of the technological development of the de-anonymization/re-identification risk with an explorative survey. After acknowledging its span, it is questioned whether a certain degree of anonymity can still be granted focusing on a double perspective: an objective and a subjective perspective. The objective perspective focuses on the data processing models per se, while the subjective perspective investigates whether the distribution of roles and responsibilities among stakeholders can ensure data anonymity.
Abstract
The thesis represents the conclusive outcome of the European Joint Doctorate programmein Law, Science & Technology funded by the European Commission with the instrument Marie Skłodowska-Curie Innovative Training Networks actions inside of the H2020, grantagreement n. 814177.
The tension between data protection and privacy from one side, and the need of granting further uses of processed personal datails is investigated, drawing the lines of the technological development of the de-anonymization/re-identification risk with an explorative survey. After acknowledging its span, it is questioned whether a certain degree of anonymity can still be granted focusing on a double perspective: an objective and a subjective perspective. The objective perspective focuses on the data processing models per se, while the subjective perspective investigates whether the distribution of roles and responsibilities among stakeholders can ensure data anonymity.
Tipologia del documento
Tesi di dottorato
Autore
Podda, Emanuela
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
35
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Personal Data, Non-Personal Data, De-anonymization, Anonymization, Pseudonymity, Data Governance
URN:NBN
DOI
10.48676/unibo/amsdottorato/10697
Data di discussione
30 Marzo 2023
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Podda, Emanuela
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
35
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Personal Data, Non-Personal Data, De-anonymization, Anonymization, Pseudonymity, Data Governance
URN:NBN
DOI
10.48676/unibo/amsdottorato/10697
Data di discussione
30 Marzo 2023
URI
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