论文信息 - Individual Risk Estimation in µ-Argus: A Review

Individual Risk Estimation in µ-Argus: A Review

Individual risk estimation was one of the issues that the European Union project CASC targeted. On this subject ISTAT has built on previous work by Benedetti and Franconi (1998) to improve individual risk measures. These permit the identification of unsafe records to be protected by disclosure limitation techniques. The software μ-Argus contains now a routine, that has been implemented by CBS Netherlands in cooperation with ISTAT, for computing the Benedetti-Franconi or individual risk of disclosure. The paper reviews the main aspects of the individual risk methodology. Such an approach defines measures of risk for protection of files of independent records as well as hierarchical files. The theory and some practical issues such as threshold setting are illustrated for both cases.

Luisa Franconi | Silvia Polettini | L. Franconi | S. Polettini

[1] Adrian Dobra,et al. Assessing the Risk of Disclosure of Confidential Categorical Data , 2002 .

[2] Michael Carlson,et al. Assessing Microdata Disclosure Risk Using the Poisson-Inverse Guassian Distribution , 2002 .

[3] C. Särndal,et al. Calibration Estimators in Survey Sampling , 1992 .

[4] Anco Hundepool. The CASC Project , 2002, Inference Control in Statistical Databases.

[5] George T. Duncan,et al. Disclosure-Limited Data Dissemination , 1986 .

[6] L. Willenborg,et al. Optimal loca lsuppression in microdata , 1998 .

[7] Irene A. Stegun,et al. Handbook of Mathematical Functions. , 1966 .

[8] Yosef Rinott. On models for statistical disclosure risk estimation , 2003 .

[9] Josep Domingo-Ferrer,et al. Inference Control in Statistical Databases , 2002, Lecture Notes in Computer Science.

[10] Chris J. Skinner,et al. Estimating the re-identification risk per record in microdata , 1998 .

[11] W. Keller,et al. Disclosure control of microdata , 1990 .

[12] L. Willenborg,et al. Elements of Statistical Disclosure Control , 2000 .