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A strategy in data mining in which anonymous data is cross-referenced with other sources of data to re-identify the anonymous data source. Besides being used by those that do not have users' best interest in mind, de-anonymisation also works to further help improve anonymisation techniques and reduce privacy breach by probing the potential drawbacks of anonymisation techniques.

The below are my notes made during a literature study of and some DIY datamining for known possible attack vectors, attacks, current and possible uses and effects, and if and where mentioned or possible, mitigations.

en/threats/deanon/start.txt · Last modified: 2019/10/15 19:20 by Digital Dot