Integral privacy
Torra i Reventós, Vicenç (Högskolan i Skövde. School of Informatics)
Navarro-Arribas, Guillermo (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Imprint:	Cham: Springer, 2016
Abstract:	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.
Grants:	Ministerio de Economía y Competitividad TIN2014-55243-P Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-691
Note:	El treball es va presentar a la International Conference on Cryptology and Network Security (15th : 2016 : Milan, Italy)
Rights:	Tots els drets reservats.
Language:	Anglès
Series:	Lecture Notes in Computer Science book series (LNCS) ; 10052
Document:	Capítol de llibre ; recerca ; Versió acceptada per publicar
Published in:	Cryptology and Network Security: 15th International Conference, CANS 2016, Milan, Italy, November 14-16, 2016, Proceedings, 2016, p. 661-669, ISBN 978-3-319-48965-0

DOI: 10.1007/978-3-319-48965-0_44

Postprint 8 p, 1016.0 KB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Engineering > Security of Networks and Distributed Applications (SENDA)
Books and collections > Book chapters