Titre
Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms
Type
article de conférence/colloque
Institution
Externe
Auteur(s)
Bilogrevic, I.
Auteure/Auteur
Huguenin, K.
Auteure/Auteur
Mihaila, S.
Auteure/Auteur
Shokri, R.
Auteure/Auteur
Hubaux, J.-P.
Auteure/Auteur
Liens vers les personnes
Maison d’édition
Internet Society
Titre du livre ou conférence/colloque
Proceedings of the 22nd Network and Distributed System Security Symposium (NDSS)
Adresse
San Diego, CA, USA
ISBN
1-891562-38-X
Statut éditorial
Publié
Date de publication
2015
Première page
NA
Peer-reviewed
Oui
Langue
anglais
Résumé
Location check-ins contain both geographical and semantic information about the visited venues, in the form of tags (e.g., “restaurant”). Such data might reveal some personal information about users beyond what they actually want to disclose, hence their privacy is threatened. In this paper, we study users’ motivations behind location check-ins, and we quantify the effect of a privacy-preserving technique (i.e., generalization) on the perceived utility of check-ins. By means of a targeted user study on Foursquare (N = 77), we show that the motivation behind Foursquare check-ins is a mediator of the loss of utility caused by generalization. Using these findings, we propose a machine learning method for determining the motivation behind each check-in, and we design a motivation-based predictive model for utility. Our results show that the model accurately predicts the loss of utility caused by semantic and geographical generalization; this model enables the design of utility-aware, privacy-enhancing mechanisms in location-based social networks.
PID Serval
serval:BIB_78C0943DCA20
Open Access
Oui
Date de création
2016-11-30T15:02:41.328Z
Date de création dans IRIS
2025-05-20T21:28:50Z
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Nom
Bilogrevic15NDSS.pdf
Version du manuscrit
preprint
Taille
2.64 MB
Format
Adobe PDF
PID Serval
serval:BIB_78C0943DCA20.P001
Somme de contrôle
(MD5):111288f2c3bf3c964a291734cc10948d