Data di Pubblicazione:
2023
Citazione:
k-Anonymity: From Theory to Applications / S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati. - In: TRANSACTIONS ON DATA PRIVACY. - ISSN 1888-5063. - 16:1(2023), pp. 25-49.
Abstract:
k-Anonymity is a well-known privacy model originally designed to protect the identities of the individuals involved in the release of a data collection. It provides a privacy requirement and a metric able to capture the protection degree enjoyed by respondents (i.e., the individuals to whom released data refer). Since its proposal, k-anonymity has been heavily investigated, with works addressing extensions of its privacy requirement to capture specific privacy risks, approaches to efficiently enforce k-anonymity, and adaptations to application scenarios that go beyond the publication of a dataset. In this paper, we illustrate k-anonymity and its main extensions. We also discuss some of the main approaches proposed for the enforcement of the corresponding privacy requirements, and some advanced application scenarios.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
k-Anonymity; l-Diversity; Privacy; Quasi-identifier; Generalization; Fragmentation; Microaggregation
Elenco autori:
S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati
Link alla scheda completa: