Utility-driven assessment of anonymized data via clustering

HIGHLIGHTS

SUMMARY

    The increasing digitization of data in all the domains of the society makes privacy protection a challenge for data_analysis. Whenever the data controller delivers the data and makes such analyses possible, it is assumed that the individual rights set by the European General Data Protection Regulation (GDPR) are met1. The first is based on data access control, e_g restricting data access to "well-defined group of individuals, under well-defined conditions in well-defined places"5; the second is based on statistical disclosure control (SDC) methods, meaning that the released data may have been . . .

     

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