Anonimisoinnin
Anonimisoinnin, also known as anonymization, is the process of removing or altering personal information from data to protect the identity of individuals while still allowing the data to be used for research, analysis, or other purposes. This technique is crucial in fields such as healthcare, social sciences, and data mining, where the privacy of participants is paramount.
There are several methods of anonymization, including:
1. Generalization: This involves replacing specific data with more general categories. For example, instead of using
2. Suppression: This method involves removing specific data points that could identify an individual. For instance,
3. Perturbation: This technique involves adding random noise to the data to obscure individual identities. For
4. Pseudonymization: This involves replacing personal identifiers with artificial identifiers or pseudonyms. The link between the
However, anonymization is not foolproof. Advanced techniques such as re-identification attacks can sometimes link anonymized data