Anonymization of moving objects databases by clustering and perturbation

Preserving individual privacy when publishing data is a problem that is receiving increasing attention. Thanks to its simplicity the concept of k-anonymity, introduced by Samarati and Sweeney [1], established itself as one fundamental principle for privacy preserving data publishing. According to th...

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Veröffentlicht in:	Information systems (Oxford) 2010-12, Vol.35 (8), p.884-910
Hauptverfasser:	Abul, Osman, Bonchi, Francesco, Nanni, Mirco
Format:	Artikel
Sprache:	eng
Schlagworte:	Anonymity Clustering Computer programs Cylinders Global Positioning System Moving objects databases Privacy Satellite navigation systems Software Trajectories Uncertainty
Online-Zugang:	Volltext
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