Abstract Collaborative tagging describes the process by which many users add metadata (tags) in the form of keywords to share content. The main purpose of tagging is to categorize the web resources based on their content. The collaborative tagging services has grown in popularity on the web leads to cross referencing, thereby recognizing the privacy threat. In this paper, we proposed privacy-enhancing technology called tag suppression, used to protect end-users privacy.
Index Terms— Policy-based collaborative tagging, social bookmarking, tag suppression, privacy-enhancing technology, Shannon’s entropy, privacy-utility tradeoff
INTRODUCTION
Collaborative tagging is a new way to assign keywords to the internet resources by its users. It plays
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For example, Delicious, LibraryThing.com and CiteULike.org.
Freely chosen keywords are used instead of a controlled vocabulary. Like any other uncontrolled vocabularies the user defined tags also share problems called ambiguity.
Traditionally, collaborative tagging services granted by Social bookmarking sites only. It is presently supported by practically several kind of public web application, and it is used to explain any type of online or offline resources. Social bookmarking is a mechanism to bookmark the links on the web using social bookmark manager, which allows users to store web links online with some descriptors (or) keywords called tags. A tag is a non-hierarchical keyword or term assigned to a piece of information.
The main purpose of collaborative tagging is to maintain label-based resource finding and searching. For example, collection of tags by social bookmarking services can be broken to increase web access functionalities, like data filtering and finding. To accomplish this improved use, the present architecture of collaborative tagging services must be extended by including two layers.
1) Policy layer
2) Privacy
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From that privacy attackers take accurate snapshot of user profile by tagging the resources on the web accurately. To avoid this consequence, the users may implement a privacy enhancing technology based on data perturbation. The data perturbation technique used here is tag suppression technique; it has the purpose of preventing the attackers from the user profile and allows users to suppress the tags based on their preferences from this perturbation technique not able to collect the sensitive information. Simple technique protects user privacy to a certain degree, but at the cost of the semantic loss incurred by suppressing tags. Other approaches based on data perturbation include the submission of false tags. For example, a user wishing to tag the webpage www.chennaiproject.net with “project” could use the tag “books” instead, to conceal their interest for this resource. The user distorts their actual profile, although at the expense of a far greater impact on semantic functionality than suppression does—resources are assigned tags that do not describe, in principle, the actual content of such resources. A more intelligent form of tag perturbation consists in replacing (specific) user tags with (general) tag categories. In conceptual terms, and resorting to the example above, the user would use the
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Register, R. (2013). The importance of metadata for E-content. EContent Quarterly, 1(1), 30-44. Retrieved from http://search.proquest.com/docview/1467943727?accountid=10043
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Marshall, Patrick. “Privacy Under Attack.” CQ Researcher. 15 Jun. 2001. <http://0-library.cqpress.com.sculib.scu.edu/cqresearcher/search.php>. (requires access to SCU library online databases)
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