Autor según el artículo: Parra-Arnau, Javier; Strufe, Thorsten; Domingo-Ferrer, Josep
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Domingo Ferrer, Josep / PARRA ARNAU, JAVIER
Palabras clave: Video encoding Privacy Database anonymization Data streams
Resumen: While most anonymization technology available today is designed for static and small data, the current picture is of massive volumes of dynamic data arriving at unprecedented velocities. From the standpoint of anonymization, the most challenging type of dynamic data is data streams. However, while the majority of proposals deal with publishing either count-based or aggregated statistics about the underlying stream, little attention has been paid to the problem of continuously publishing the stream itself with differential privacy guarantees. In this work, we propose an anonymization method that can publish multiple numerical-attribute, finite microdata streams with high protection as well as high utility, the latter aspect measured as data distortion, delay and record reordering. Our method, which relies on the well-known differential pulse-code modulation scheme, adapts techniques originally intended for hybrid video encoding, to favor and leverage dependencies among the blocks of the original stream and thereby reduce data distortion. The proposed solution is assessed experimentally on two of the largest data sets in the scientific community working in data anonymization. Our extensive empirical evaluation shows the trade-off among privacy protection, data distortion, delay and record reordering, and demonstrates the suitability of adapting video-compression techniques to anonymize database streams.
Áreas temáticas: Software Matemática / probabilidade e estatística Management information systems Interdisciplinar Information systems and management Información y documentación Engenharias iv Engenharias iii Economia Computer science, artificial intelligence Ciencias sociales Ciências biológicas i Ciência da computação Astronomia / física Artificial intelligence Administração pública e de empresas, ciências contábeis e turismo
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: josep.domingo@urv.cat
Identificador del autor: 0000-0001-7213-4962
Fecha de alta del registro: 2024-10-12
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S0950705122003665?via%3Dihub
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Knowledge-Based Systems. 247 108778-
Referencia de l'ítem segons les normes APA: Parra-Arnau, Javier; Strufe, Thorsten; Domingo-Ferrer, Josep (2022). Differentially private publication of database streams via hybrid video coding. Knowledge-Based Systems, 247(), 108778-. DOI: 10.1016/j.knosys.2022.108778
DOI del artículo: 10.1016/j.knosys.2022.108778
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications