Estimating Re-identification Risk by Means of Formal Conceptualization

Autor:	Joaquín Borrego-Díaz, Juan Galán-Páez, Gonzalo A. Aranda-Corral
Rok vydání:	2021
Předmět:	Estimation Conceptualization Computer science Formal concept analysis A priori and a posteriori Metric (unit) Data mining computer.software_genre computer Re identification
Zdroj:	14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021) ISBN: 9783030878719 CISIS-ICEUTE
DOI:	10.1007/978-3-030-87872-6_2
Popis:	Risk-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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0f43bd055fbd393c7f9ccea5b369c65d https://doi.org/10.1007/978-3-030-87872-6_2 Zobrazit plný text záznamu