Sharing private data through personalized search

Identity in the Information Society 2 (3):205-220 (2009)
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Abstract

A method for sharing private data through personalized searches is described. This method enables users to retrieve access-controlled private data as well as publicly available data by submitting a single query to a conventional search engine. Seamless integration of the method into current search services through a prototype on the Mozilla Firefox web browser, without any changes to existing search functions, such as crawling, indexing, and matching, is also described. Evaluations showed that the additional storage requirement is only 10% and that the system implementing the method responds in 10 s with 1,000 dummy results for anonymization

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