Advances in information technology, and its use in research, are increasing both the need for anonymized data and the risks of poor anonymization. We present a metric, d-presence, that clearly links the quality of anonymization to the risk posed by inadequate anonymization. We show that existing anonymization techniques are inappropriate for situations where d-presence is a good metric (specifically, where knowing an individual is in the database poses a privacy risk), and present algorithms for effectively anonymizing to meet d-presence. The algorithms are evaluated in the context of a real-world scenario, demonstrating practical applicability of the approach.
Hiding the Presence of Individuals from Shared Databases
Atzori M;
2007
Abstract
Advances in information technology, and its use in research, are increasing both the need for anonymized data and the risks of poor anonymization. We present a metric, d-presence, that clearly links the quality of anonymization to the risk posed by inadequate anonymization. We show that existing anonymization techniques are inappropriate for situations where d-presence is a good metric (specifically, where knowing an individual is in the database poses a privacy risk), and present algorithms for effectively anonymizing to meet d-presence. The algorithms are evaluated in the context of a real-world scenario, demonstrating practical applicability of the approach.File | Dimensione | Formato | |
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