TU Darmstadt / ULB / TUbiblio

Privacy-preserving Collaborative Path Hiding for Participatory Sensing Applications

Christin, Delphine ; Guillemet, J. ; Reinhardt, Andreas ; Hollick, Matthias ; Kanhere, Salil (2011)
Privacy-preserving Collaborative Path Hiding for Participatory Sensing Applications.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The presence of multimodal sensors on current mobile phones enables a broad range of novel mobile applications including, e.g., monitoring noise pollution or traffic and road con- ditions in urban environments. Data of unprecedented quantity and quality can be collected and reported by a possible user base of billions of mobile phone subscribers worldwide. The collection of detailed sensor and location data may however compromise user privacy. In this paper, we present a decentralized mechanism to preserve location privacy during the collection of sensor readings. As most sensor readings are geotagged, we propose to exchange them between users in physical proximity in order to jumble the paths followed by the users. We evaluate different strategies to exchange and report the sensor readings to the application using real-world GPS traces of mobile users. The results demonstrate the feasibility and efficacy of our proposed scheme, which can obfuscate up to 100% of the visited locations in the best instances.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2011
Autor(en): Christin, Delphine ; Guillemet, J. ; Reinhardt, Andreas ; Hollick, Matthias ; Kanhere, Salil
Art des Eintrags: Bibliographie
Titel: Privacy-preserving Collaborative Path Hiding for Participatory Sensing Applications
Sprache: Deutsch
Publikationsjahr: Oktober 2011
Buchtitel: Proceedings of the 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2011)
Kurzbeschreibung (Abstract):

The presence of multimodal sensors on current mobile phones enables a broad range of novel mobile applications including, e.g., monitoring noise pollution or traffic and road con- ditions in urban environments. Data of unprecedented quantity and quality can be collected and reported by a possible user base of billions of mobile phone subscribers worldwide. The collection of detailed sensor and location data may however compromise user privacy. In this paper, we present a decentralized mechanism to preserve location privacy during the collection of sensor readings. As most sensor readings are geotagged, we propose to exchange them between users in physical proximity in order to jumble the paths followed by the users. We evaluate different strategies to exchange and report the sensor readings to the application using real-world GPS traces of mobile users. The results demonstrate the feasibility and efficacy of our proposed scheme, which can obfuscate up to 100% of the visited locations in the best instances.

Freie Schlagworte: Secure Things
ID-Nummer: TUD-CS-2011-0250
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Sichere Mobile Netze
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
Hinterlegungsdatum: 31 Dez 2016 11:08
Letzte Änderung: 10 Jun 2021 06:12
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen