Articles producció científica> Enginyeria Informàtica i Matemàtiques

C-sanitized: A privacy model for document redaction and sanitization

  • Datos identificativos

    Identificador: imarina:5129871
    Autores:
    Sanchez, DavidBatet, Montserrat
    Resumen:
    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.
  • Otros:

    Autor según el artículo: Sanchez, David; Batet, Montserrat
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: Batet Sanromà, Montserrat / Sánchez Ruenes, David
    Palabras clave: Semantics Privacy Knowledge
    Resumen: 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.
    Áreas temáticas: Library and information science Information science & library science Información y documentación Computer science, information systems Ciencias sociales
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: montserrat.batet@urv.cat david.sanchez@urv.cat
    Identificador del autor: 0000-0001-8174-7592 0000-0001-7275-7887
    Fecha de alta del registro: 2024-10-12
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Enlace a la fuente original: https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/asi.23363
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Journal Of The Association For Information Science And Technology. 67 (1): 148-163
    Referencia 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 del artículo: 10.1002/asi.23363
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2016
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computer Science, Information Systems,Information Science & Library Science
    Semantics
    Privacy
    Knowledge
    Library and information science
    Information science & library science
    Información y documentación
    Computer science, information systems
    Ciencias sociales
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