Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data

Détails

Ressource 1Télécharger: OlteanuNDSS2017.pdf (8026.65 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_0D8D70E207E3
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data
Titre de la conférence
Proceedings of the 25th Network and Distributed System Security Symposium (NDSS)
Auteur(s)
Olteanu A.M., Huguenin K., Dacosta I., Hubaux J.-P.
Editeur
Internet Society
Adresse
San Diego, CA, USA
Statut éditorial
Publié
Date de publication
02/2018
Peer-reviewed
Oui
Pages
1-16
Langue
anglais
Résumé
Individuals share increasing amounts of personal data online. This data often involves–or at least has privacy implications for–data subjects other than the individuals who shares it (e.g., photos, genomic data) and the data is shared without their consent. A sadly popular example, with dramatic consequences, is revenge pornography. In this paper, we propose ConsenShare, a system for sharing, in a consensual (wrt the data subjects) and privacy-preserving (wrt both service providers and other individuals) way, data involving subjects other than the uploader. We describe a complete design and implementation of ConsenShare for photos, which relies on image processing and cryptographic techniques, as well as on a two-tier architecture (one entity for detecting the data subjects and contacting them; one entity for hosting the data and for collecting consent). We benchmark the performance (CPU and bandwidth) of ConsenShare by using a dataset of 20k photos from Flickr. We also conduct a survey targeted at Facebook users (N = 321). Our results are quite encouraging: The experimental results demonstrate the feasibility of our approach (i.e., acceptable overheads) and the survey results demonstrate a potential interest from the users.
Open Access
Oui
Création de la notice
29/11/2017 10:40
Dernière modification de la notice
21/08/2019 6:08
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