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. Argus software, data protection, global risk, individual risk, household data, local suppression, re-identification disclosure, threshold setting, unsafe combinations © Springer-Verlag 2004.
Franconi, L., & Polettini, S. (2004). individual risk estimation in μ-argus: A review. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3050, 262–272. https://doi.org/10.1007/978-3-540-25955-8_20