Anonymisation des données sensible dans un data-set

Abstract

The anonymisation of sensitive data is an important process for guaranteeing the protection of individual privacy in data-sets. It is necessary to use complex algorithms to anonymise personal data. These algorithms are designed to minimise the risk of reidentification while preserving the usefulness of the data. In our dissertation we worked with the main anonymisation tools to guarantee the confidentiality and security of sensitive data. At last, we tested anonymisation algorithms on a database to assess the impact of the different parameters of these anonymisation techniques.