G - Physics – 06 – Q
Patent
G - Physics
06
Q
G06Q 10/04 (2012.01) G06F 21/00 (2006.01)
Patent
CA 2734545
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.
Dankar Fida Kamal
El Emam Khaled
Gowling Lafleur Henderson Llp
University Of Ottawa
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