By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Research findings on Information Technology are discussed in a new report. According to news reporting from Tarragona, Spain, by VerticalNews journalists, research stated, "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."
The news correspondents obtained a quote from the research from the University of Rovira and Virgili, "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."
According to the news reporters, the research concluded: "As a result, the disclosure risk of the sanitized output is significantly reduced with respect to standard sanitization mechanisms."
For more information on this research see: Minimizing the disclosure risk of semantic correlations in document sanitization. Information Sciences, 2013;249():110-123. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier - www.elsevier.com; Information Sciences - www.elsevier.com/wps/product/cws_home/505730)
Our news journalists report that additional information may be obtained by contacting D. Sanchez, Univ Rovira & Virgili, Dept. of Comp Sci & Math, E-43007 Tarragona, Spain. Additional authors for this research include M. Batet and A. Viejo.
Keywords for this news article include: Spain, Europe, Tarragona, Information Technology
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