SDC Score

Definition

Statistical disclosure control (SDC) methods for microdata can be ranked based on information loss, disclosure risk or a combination of both. An SDC score is a combination of information loss and disclosure risk measures used to rank methods.

Key Points

The construction of an SDC score combining information loss and disclosure risk was first proposed in [1,2]. For each method M and parameterization P, the following score is computed:

$$Score({\bf V},{\bf V}') = {IL({\bf V},{\bf V}') + DR({\bf V},{\bf V}')\over 2}$$

where IL is an information loss measure, DR is a disclosure risk measure and V′ is the protected dataset obtained after applying method M with parameterization P to an original dataset V.

In the above references, IL and DR were computed using a weighted combination of several information loss and disclosure risk measures. With the resulting score, a ranking of a set of masking methods (and their parameterizations) was obtained. Yancey et al. [3] later followed...