Description: A quasi-identifier is an attribute or set of attributes that, while not directly identifying an individual, can be used in combination with other data to re-identify them. These attributes may include information such as date of birth, postal code, or gender, which, on their own, are not sufficient to identify a person, but when combined with other available data, can lead to the identification of a specific individual. The relevance of quasi-identifiers lies in their ability to compromise data privacy, especially in the context of data mining and the analysis of large volumes of information. In an environment where massive data is collected and analyzed, protecting privacy becomes a critical challenge, as quasi-identifiers can be used to infer sensitive information about individuals. Therefore, it is essential for organizations handling personal data to be aware of quasi-identifiers and take appropriate measures to protect their users’ information by implementing data anonymization and masking techniques to mitigate the risks associated with re-identification.
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