Integral privacy

Vicenç Torra i Reventós, Guillermo Navarro-Arribas

Producció científica: Capítol de llibreCapítolRecercaAvaluat per experts

13 Citacions (Web of Science)

Resum

When considering data provenance some problems arise from the need to safely handle provenance related functionality. If some modifications have to be performed in a data set due to provenance related requirements, e.g. remove data from a given user or source, this will affect not only the data itself but also all related models and aggregated information obtained from the data. This is specially aggravated when the data are protected using a privacy method (e.g. masking method), since modification in the data and the model can leak information originally protected by the privacy method. To be able to evaluate privacy related problems in data provenance we introduce the notion of integral privacy as compared to the well known definition of differential privacy.
Idioma originalAnglès
Títol de la publicacióCryptology and Network Security: 15th International Conference, CANS 2016, Milan, Italy, November 14-16, 2016, Proceedings
Lloc de publicacióCham:
EditorSpringer, Cham
Pàgines661-669
Nombre de pàgines9
Edició2016
ISBN (electrònic)978-3-319-48965-0
DOIs
Estat de la publicacióPublicada - 2016

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