Autor segons l'article: Sanchez, David; Batet, Montserrat
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Batet Sanromà, Montserrat / Sánchez Ruenes, David
Paraules clau: Semantics Privacy Knowledge
Resum: Vast amounts of information are daily exchanged and/or released. The sensitive nature of much of this information creates a serious privacy threat when documents are uncontrollably made available to untrusted third parties. In such cases, appropriate data protection measures should be undertaken by the responsible organization, especially under the umbrella of current legislation on data privacy. To do so, human experts are usually requested to redact or sanitize document contents. To relieve this burdensome task, this paper presents a privacy model for document redaction/sanitization, which offers several advantages over other models available in the literature. Based on the well-established foundations of data semantics and information theory, our model provides a framework to develop and implement automated and inherently semantic redaction/sanitization tools. Moreover, contrary to ad-hoc redaction methods, our proposal provides a priori privacy guarantees which can be intuitively defined according to current legislations on data privacy. Empirical tests performed within the context of several use cases illustrate the applicability of our model and its ability to mimic the reasoning of human sanitizers.
Àrees temàtiques: Library and information science Information science & library science Información y documentación Computer science, information systems Ciencias sociales
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: montserrat.batet@urv.cat david.sanchez@urv.cat
Identificador de l'autor: 0000-0001-8174-7592 0000-0001-7275-7887
Data d'alta del registre: 2024-10-12
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/asi.23363
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Journal Of The Association For Information Science And Technology. 67 (1): 148-163
Referència de l'ítem segons les normes APA: Sanchez, David; Batet, Montserrat (2016). C-sanitized: A privacy model for document redaction and sanitization. Journal Of The Association For Information Science And Technology, 67(1), 148-163. DOI: 10.1002/asi.23363
DOI de l'article: 10.1002/asi.23363
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Tipus de publicació: Journal Publications