Big data analysis systems in IoE environments for managing privacy and data protection: pseudonymity, de-anonymization and the right to be forgotten
Contribuinte(s) |
Palmirani, Monica |
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Data(s) |
30/03/2023
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Resumo |
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. |
Formato |
application/pdf |
Identificador |
http://amsdottorato.unibo.it/10697/1/Law%2C%20Science%20and%20Technology_Podda%20Emanuela%20.pdf urn:nbn:it:unibo-29610 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 <http://amsdottorato.unibo.it/view/dottorati/DOT527/>, 35 Ciclo. DOI 10.48676/unibo/amsdottorato/10697. |
Idioma(s) |
en |
Publicador |
Alma Mater Studiorum - Università di Bologna |
Relação |
http://amsdottorato.unibo.it/10697/ |
Direitos |
info:eu-repo/semantics/openAccess |
Palavras-Chave | #IUS/20 Filosofia del diritto |
Tipo |
Doctoral Thesis PeerReviewed |