2025-04-092025-04-092022Aranda-Corral, G.A., Borrego Díaz, J. y Galán Páez, J. (2022). Estimating re-identification risk by means of formal conceptualization. En 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021) (13-22), Springer Nature.978-3-030-87872-62194-5365https://hdl.handle.net/11441/171617Risk-based methodologies for de-identification provide solutions to ensure privacy. These are based on the availability of sound metrics to estimate the risk of re-identification. Two issues associated with classical risk estimation are, on the one hand, the adequacy of the metric and, on the other hand, its static nature -that is, any change in the database to reduce the risk could imply recomputing the metrics, for example, by removing compromised data (data with a high probability of re-identification). This paper presents a semantic-based risk estimation -by means of Formal Concept Analysis- that allows to estimate a priori the risk of compromised data deletion.application/pdf10 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/PrivacyRe-identificationFormal concept analysisRisk metricsinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess10.1007/978-3-030-87872-6_2