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A Post-processing Method to Lessen k-Anonymity Dissimilarities

10 years 9 months ago
A Post-processing Method to Lessen k-Anonymity Dissimilarities
Protecting personal data is essential to guarantee the rule of law1 . Due to the new Information and Communication Technologies (ICTs) unprecedented amounts of personal data can be stored and analysed. Thus, if the proper measures are not taken, individual privacy could be in jeopardy. Being the aim to protect individual privacy, a great variety of statistical disclosure control (SDC) techniques has been proposed. Amongst many others, k-anonymity is a promising property that, if properly achieved, can help protect individual privacy. In this paper, we propose a new post-processing method that can be applied after a k-anonymity algorithm, being the aim to lessen the errors resulting from the aggregation of data. We show that our method can be extended to work with many other SDC techniques and we provide some experimental results which emphasise the usefulness of our proposal.
Agusti Solanas, Gloria Pujol, Antoni Martín
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where IEEEARES
Authors Agusti Solanas, Gloria Pujol, Antoni Martínez-Ballesté, Josep Maria Mateo-Sanz
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