Web of Science: 6 citations, Scopus: 3 citations, Google Scholar: citations
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)

Date: 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.
Note: El treball es va presentar a la International Conference on Cryptology and Network Security (15th : 2016 : Milan, Italy)
Note: Número d'acord de subvenció MINECO/TIN2014-55243-P
Note: Número d'acord de subvenció AGAUR/2014/SGR-691
Rights: Tots els drets reservats
Language: Anglès.
Document: article ; recerca ; acceptedVersion
Published in: Lecture notes in computer science, Vol. 10052 (2016) , ISSN 0302-9743

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

8 p, 1016.0 KB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (scientific output) > Engineering > Security of Networks and Distributed Applications (SENDA)
Articles > Research articles
Articles > Published articles

 Record created 2016-11-16, last modified 2019-02-02

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