Projects per year
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.
|Number of pages||2|
|Publication status||Published - 16 Nov 2020|
|Event||18th ACM Conference on Embedded Networked Sensor Systems: SenSys 2020 - Online, Virtual, Yokohama, Japan|
Duration: 16 Nov 2020 → 19 Nov 2020
|Conference||18th ACM Conference on Embedded Networked Sensor Systems|
|Period||16/11/20 → 19/11/20|
- location privacy
- sensor data
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Networks and Communications
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- 1 Finished
D4Dairy - Digitalisation, Data integration, Detection and Decision support in Dairying
Saukh, O., Römer, K. U. & Papst, F.
1/10/18 → 30/09/22
Project: Research project
- 1 Poster presentation
Poster Abstract: Localization from Activity Sensor Data
Franz Papst (Speaker)16 Nov 2020
Activity: Talk or presentation › Poster presentation › Science to science