SYSTEM AND METHOD FOR EVALUATING MARKETER RE-IDENTIFICATION RISK
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United States of America Patent
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Issued Date -
Oct 20, 2011
app pub date -
Mar 21, 2011
filing date -
Mar 19, 2010
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Abandoned
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Abstract
Disclosures of databases for secondary purposes is increasing rapidly and any identification of personal data may from a dataset of database can be detrimental. A re-identification risk metric is determined for the scenario where an intruder wishes to re-identify as many records as possible in a disclosed database, known as a marketer risk. The dataset can be analyzed to determine equivalence classes for variables in the dataset and one or more equivalence class sizes. The re-identification risk metric associated with the dataset can be determined using a modified log-linear model by measuring a goodness of fit measure generalized for each of the one or more equivalence class sizes.
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