Localization from Activity Sensor Data: poster abstract

Franz Papst, Naomi Stricker, Olga Saukh

Publikation: KonferenzbeitragPosterBegutachtung

Abstract

In this work, we show that sensor data may leak a sensor’s location even if the latter is not explicitly included in the data set. The sensors are localized by linking sensor data, in particular activity data, with publicly available environmental data such as weather data. We show that using a linkage attack a cow can be localized within an entire country with an average accuracy of up to 32.6 km solely from activity traces recorded with a tracker in the cow’s stomach.
Originalspracheenglisch
Seiten703-704
Seitenumfang2
DOIs
PublikationsstatusVeröffentlicht - 16 Nov. 2020
Veranstaltung18th ACM Conference on Embedded Networked Sensor Systems: SenSys 2020 - Online, Virtual, Yokohama, Japan
Dauer: 16 Nov. 202019 Nov. 2020
http://sensys.acm.org/2020/
http://sensys.acm.org/2020/index.html

Konferenz

Konferenz18th ACM Conference on Embedded Networked Sensor Systems
KurztitelSenSys
Land/GebietJapan
OrtVirtual, Yokohama
Zeitraum16/11/2019/11/20
Internetadresse

ASJC Scopus subject areas

  • Elektrotechnik und Elektronik
  • Steuerungs- und Systemtechnik
  • Computernetzwerke und -kommunikation

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