Articles producció científica> Enginyeria Informàtica i Matemàtiques

Minimizing the disclosure risk of semantic correlations in document sanitization

  • Dades identificatives

    Identificador: PC:400
    Handle: https://hdl.handle.net/20.500.11797/PC400
    Autors:
    Sánchez, D.Batet, M.Viejo, A.
    Resum:
    10.1016/j.ins.2013.06.042

  • Altres:

    Autor segons l'article: Sánchez, D. Batet, M. Viejo, A.
    Departament: Enginyeria Informàtica i Matemàtiques
    Resum: Text sanitization is crucial to enable privacy-preserving declassification of confidential documents. Moreover, considering the advent of new information sharing technologies that enable the daily publication of thousands of textual documents, automatic and semi-automatic sanitization methods are needed. Even though several of these methods have been proposed, most of them detect and sanitize sensitive terms (e.g., people names, addresses, diseases, etc.) independently, neglecting the importance of semantic correlations. From the attacker’s perspective, semantic correlations can be exploited to disclose a sanitized term from the presence of one or several non-sanitized words. To tackle this problem, this paper presents a general-purpose method that, by taking the output of a standard sanitization mechanism, analyses, detects and proposes for sanitization those semantically correlated terms that represent a plausible disclosure risk for the already sanitized ones. Our method relies on an information-theoretic formulation of disclosure risk which is able to adapt its behavior to the criterion of the initial sanitizer. The evaluation, carried on over a collection of real documents, shows that semantic correlations represent a real privacy threat in prior sanitized documents, and that our method is able to detect them effectively. As a result, the disclosure risk of the sanitized output is significantly reduced with respect to standard sanitization mechanisms.
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0020-0255
    Pàgina final: 123
    Volum de revista: 249
    Versió de l'article dipositat: info:eu-repo/semantics/submittedVersion
    Enllaç font original: http://www.sciencedirect.com/science/article/pii/S0020025513004799
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1016/j.ins.2013.06.042
    Entitat: Universitat Rovira i Virgili.
    Any de publicació de la revista: 2013
    Pàgina inicial: 110