Titlebook: Database Anonymization; Privacy Models, Data Josep Domingo-Ferrer,David Sánchez,Jordi Soria-Com Book 2016 Springer Nature Switzerland AG 20

詞匯表

The Superpowers and the October Ward/or attribute disclosure. These are tightly related to the two views of privacy that have been presented in Chapter 2: anonymity (it should not be possible to re-identify any individual in the published data) and confidentiality or secrecy (access to the released data should not reveal confidential

全國性

CARE

Conclusions and Research Directions,d/or attribute disclosure. These are tightly related to the two views of privacy that have been presented in Chapter 2: anonymity (it should not be possible to re-identify any individual in the published data) and confidentiality or secrecy (access to the released data should not reveal confidential information related to any specific individual).

Institution

https://doi.org/10.1057/9780230371576Although differential privacy was designed as a privacy model for queryable databases, as introduced in Section 8.6, several methods to generate differentially private data sets have been proposed. This chapter reviews perturbative masking approaches to generate a differentially private data set aimed at being as general as .-anonymity [96, 97].

absorbed

厚顏無恥

978-3-031-01219-8Springer Nature Switzerland AG 2016

打擊

Database Anonymization978-3-031-02347-7Series ISSN 1945-9742 Series E-ISSN 1945-9750

glomeruli

Overdose

The Superpowers and the October Ward/or attribute disclosure. These are tightly related to the two views of privacy that have been presented in Chapter 2: anonymity (it should not be possible to re-identify any individual in the published data) and confidentiality or secrecy (access to the released data should not reveal confidential information related to any specific individual).

Aphorism