Towards Privacy-Preserving Data Dissemination ...
Type de document :
Communication dans un congrès avec actes
Titre :
Towards Privacy-Preserving Data Dissemination in Crowd-Sensing Middleware Platform
Auteur(s) :
Sommerard, Romain [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Université de Lille, Sciences et Technologies
Rouvoy, Romain [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Université de Lille, Sciences et Technologies
Self-adaptation for distributed services and large software systems [SPIRALS]
Université de Lille, Sciences et Technologies
Rouvoy, Romain [Auteur]

Self-adaptation for distributed services and large software systems [SPIRALS]
Université de Lille, Sciences et Technologies
Titre de la manifestation scientifique :
11èmes journées francophones Mobilité et Ubiquité (UbiMob'16)
Ville :
Lorient
Pays :
France
Date de début de la manifestation scientifique :
2016-07-05
Date de publication :
2016-07-05
Mot(s)-clé(s) en anglais :
Mobile computing
Privacy
Simulator
WiFi-Direct
Privacy
Simulator
WiFi-Direct
Discipline(s) HAL :
Informatique [cs]/Génie logiciel [cs.SE]
Informatique [cs]/Informatique ubiquitaire
Informatique [cs]/Informatique mobile
Informatique [cs]/Web
Informatique [cs]/Système d'exploitation [cs.OS]
Informatique [cs]/Informatique ubiquitaire
Informatique [cs]/Informatique mobile
Informatique [cs]/Web
Informatique [cs]/Système d'exploitation [cs.OS]
Résumé en anglais : [en]
Crowd-sensing, also known as mobile crowdsourcing, is a growing research topic, which consists in engaging end users in the process of gathering physical measurements in the field. While the democratization of such middleware ...
Lire la suite >Crowd-sensing, also known as mobile crowdsourcing, is a growing research topic, which consists in engaging end users in the process of gathering physical measurements in the field. While the democratization of such middleware platforms opens the venue for the observation of phenomenon at scale, it may also raise key issues about the privacy of end users involved in the gathering process. In this paper, we therefore report on our preliminary steps towards enabling privacy-preserving data dissemination in crowd-sensing middleware platforms by adopting a decentralized dissemination strategy to fuzz the contributions of end users. To assess such a strategy, we also report in this paper on our initiative to deploy a large-scale middleware platform to emulate and control a crowd of devices. In particular , we claim that an assessment by simulation is not acceptable for such a kind of contribution and that the mobile engineering community requires a more realistic evaluation testbed.Lire moins >
Lire la suite >Crowd-sensing, also known as mobile crowdsourcing, is a growing research topic, which consists in engaging end users in the process of gathering physical measurements in the field. While the democratization of such middleware platforms opens the venue for the observation of phenomenon at scale, it may also raise key issues about the privacy of end users involved in the gathering process. In this paper, we therefore report on our preliminary steps towards enabling privacy-preserving data dissemination in crowd-sensing middleware platforms by adopting a decentralized dissemination strategy to fuzz the contributions of end users. To assess such a strategy, we also report in this paper on our initiative to deploy a large-scale middleware platform to emulate and control a crowd of devices. In particular , we claim that an assessment by simulation is not acceptable for such a kind of contribution and that the mobile engineering community requires a more realistic evaluation testbed.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Nationale
Vulgarisation :
Non
Projet ANR :
Collections :
Source :
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