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Privacy-Preserving Enhanced Collaborative Tagging.

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Bibliographic Details
Title: Privacy-Preserving Enhanced Collaborative Tagging.
Authors: Parra-Arnau, Javier1, Perego, Andrea2, Ferrari, Elena3, Forne, Jordi1, Rebollo-Monedero, David1
Source: IEEE Transactions on Knowledge & Data Engineering. Jan2014, Vol. 26 Issue 1, p180-193. 14p.
Subjects: Tags (Metadata), User-generated content, Data security, Data corruption, Database security, Social bookmarks, Uncertainty (Information theory)
Abstract: Collaborative tagging is one of the most popular services available online, and it allows end user to loosely classify either online or offline resources based on their feedback, expressed in the form of free-text labels (i.e., tags). Although tags may not be per se sensitive information, the wide use of collaborative tagging services increases the risk of cross referencing, thereby seriously compromising user privacy. In this paper, we make a first contribution toward the development of a privacy-preserving collaborative tagging service, by showing how a specific privacy-enhancing technology, namely tag suppression, can be used to protect end-user privacy. Moreover, we analyze how our approach can affect the effectiveness of a policy-based collaborative tagging system that supports enhanced web access functionalities, like content filtering and discovery, based on preferences specified by end users. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Collaborative tagging is one of the most popular services available online, and it allows end user to loosely classify either online or offline resources based on their feedback, expressed in the form of free-text labels (i.e., tags). Although tags may not be per se sensitive information, the wide use of collaborative tagging services increases the risk of cross referencing, thereby seriously compromising user privacy. In this paper, we make a first contribution toward the development of a privacy-preserving collaborative tagging service, by showing how a specific privacy-enhancing technology, namely tag suppression, can be used to protect end-user privacy. Moreover, we analyze how our approach can affect the effectiveness of a policy-based collaborative tagging system that supports enhanced web access functionalities, like content filtering and discovery, based on preferences specified by end users. [ABSTRACT FROM AUTHOR]
ISSN:10414347
DOI:10.1109/TKDE.2012.248