A Game Theoretic Framework for Analyzing Re-Identification Risk
Fig 11
Sensitivities of different scenarios to Benefit or Loss.
Sensitivity of the average payoffs over the dataset to the change of the publisher’s benefit, the publisher’s loss, or the adversary’s cost in different de-identification scenarios. V corresponds to the benefit that the publisher receives by sharing the record in its original form. L corresponds to the publisher’s loss for one record due to a successful re-identification. c corresponds to the adversary’s cost to launch a re-identification attack towards one record.