Description: Anonymization techniques are various methods used to protect individuals’ privacy when processing data. These techniques ensure that personal information cannot be linked to a specific person, allowing data to be used for analysis and studies without compromising individuals’ identities. Anonymization relies on transforming personal data into a format that does not allow for direct or indirect identification of subjects. Key characteristics of these techniques include the removal of direct identifiers, such as names and identification numbers, and the application of statistical methods that make re-identification difficult. The relevance of anonymization has grown in a world where data protection is paramount, especially with the implementation of regulations like GDPR in Europe. These techniques are not only essential for compliance with privacy regulations but also foster consumer trust by ensuring that their personal information is protected. In summary, anonymization techniques are crucial tools in data management, allowing for analysis and research without compromising individuals’ privacy.
