Articles producció científica> Enginyeria Informàtica i Matemàtiques

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

  • Identification data

    Identifier: imarina:5129871
    Authors:
    Sanchez, DavidBatet, Montserrat
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: Sanchez, David; Batet, Montserrat
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Batet Sanromà, Montserrat / Sánchez Ruenes, David
    Keywords: Semantics Privacy Knowledge
    Abstract: 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.
    Thematic Areas: Library and information science Information science & library science Información y documentación Computer science, information systems Ciencias sociales
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: montserrat.batet@urv.cat david.sanchez@urv.cat
    Author identifier: 0000-0001-8174-7592 0000-0001-7275-7887
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/asi.23363
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Journal Of The Association For Information Science And Technology. 67 (1): 148-163
    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
    Article's DOI: 10.1002/asi.23363
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2016
    Publication Type: Journal Publications
  • Keywords:

    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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