A linkage attack is an attempt to re-identify individuals in an anonymized dataset by combining that data with background information. The ‘linking’ uses quasi-identifiers, such as zip or postcode, gender, salary, etc that are present in both sets to establish identifying connections.
Many organizations aren’t aware of the linkage risk involving quasi-identifiers, and while they may mask direct identifiers, they often don’t think of masking, or generalizing, the quasi-identifiers. If you’d like to dive deeper, check out the blog post.
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