K-anonymity
K-anonimato
- Date
- 1998 · confidence high
- Place
- Cambridge, Massachusetts, United States
- Credited to
- Latanya Arvette Sweeney y Pierangela Samarati
- Field
- Knowledge & symbols
What it is
A data privacy model requiring that each record in an anonymized dataset be indistinguishable from at least k-1 other records, proposed by Latanya Sweeney and Pierangela Samarati.
What it led to
- the basis for anonymizing medical and census databases
- gave rise to extensions such as l-diversity and t-closeness
- influenced data protection regulations