When considering the publishing of web search query logs, there is
an important trade-off between the privacy and the usefulness of the
data. This paper introduces a novel approach to anonymize search
query logs by means of microaggregation. It guaranties $k$-anonymity
on the data without having to completely eliminate any record.
Links:
[1] http://www.iiia.csic.es/en/individual/guillermo-navarro-arribas
[2] http://www.iiia.csic.es/en/individual/vicenc-torra
[3] http://www.iiia.csic.es/en/publications/keyword/privacy
[4] http://www.iiia.csic.es/en/publications/keyword/microaggregation
[5] http://www.iiia.csic.es/en/publications/export/tagged/3520
[6] http://www.iiia.csic.es/en/publications/export/xml/3520
[7] http://www.iiia.csic.es/en/publications/export/bib/3520
[8] http://www.iiia.csic.es/en/project/ares
[9] http://www.iiia.csic.es/en/project/e-aegis-db-privacy