On the Privacy Implications of Location Semantics

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Ressource 1Télécharger: BIB_414B893D22EE.P001.pdf (2597.54 [Ko])
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_57F2165E1CC8
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
On the Privacy Implications of Location Semantics
Périodique
Proceedings on Privacy Enhancing Technologies
Auteur⸱e⸱s
Ağır B., Huguenin K., Hengartner U., Hubaux J.-P.
ISSN
2299-0984
Statut éditorial
Publié
Date de publication
10/2016
Peer-reviewed
Oui
Volume
2016
Numéro
4
Pages
165–183
Langue
anglais
Résumé
Mobile users increasingly make use of location-based online services enabled by localization systems. Not only do they share their locations to obtain contextual services in return (e.g., ‘nearest restaurant’), but they also share, with their friends, information about the venues (e.g., the type, such as a restaurant or a cinema) they visit. This introduces an additional dimension to the threat to location privacy: location semantics, combined with location information, can be used to improve location inference by learning and exploiting patterns at the semantic level (e.g., people go to cinemas after going to restaurants). Conversely, the type of the venue a user visits can be inferred, which also threatens her semantic location privacy. In this paper, we formalize this problem and analyze the effect of venue-type information on location privacy. We introduce inference models that consider location semantics and semantic privacy-protection mechanisms and evaluate them by using datasets of semantic check-ins from Foursquare, totaling more than a thousand users in six large cities. Our experimental results show that there is a significant risk for users’ semantic location privacy and that semantic information improves inference of user locations.
Mots-clé
Location privacy, Semantics, Inference, Social networks
Open Access
Oui
Création de la notice
13/12/2016 16:14
Dernière modification de la notice
20/08/2019 15:11
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