TitleTowards privacy preserving information retrieval through semantic microaggregation
Publication TypeConference Proceedings
Year of Conference2010
AuthorsAbril D, Navarro-Arribas G, Torra V
Volume3
PublisherIEEE
Pagination296 - 299
Conference LocationToronto, Canada
Date PublishedAug. 31 2010
ISBN Number978-1-4244-8482-9
Keywordsclassification task, Data Privacy, frequency term vector, Information Retrieval, Internet, k-anonymity preservation, pattern classification, privacy preserving information retrieval, semantic microaggregation, vectors, Web indexing task
Abstract

In this paper we introduce the problem of providing privacy preserving information for Web indexing, classification, and other information retrieval task. Web pages are represented by a frequency term vector that preserves k-anonymity for all the Web pages. This vector can then be used, for example, to build indexes of classifiers. Our proposal makes use of semantic micro aggregation.

URLhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5614556