Localization from Activity Sensor Data: poster abstract

Franz Papst; Naomi Stricker; Olga Saukh

doi:https://doi.org/10.1145/3384419.3430404

Localization from Activity Sensor Data: poster abstract

Franz Papst, Naomi Stricker, Olga Saukh

Institute of Technical Informatics (4480)

Research output: Contribution to conference › Poster › peer-review

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.

Original language	English
Pages	703-704
Number of pages	2
DOIs	https://doi.org/10.1145/3384419.3430404
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 http://sensys.acm.org/2020/ http://sensys.acm.org/2020/index.html

Conference

Conference	18th ACM Conference on Embedded Networked Sensor Systems
Abbreviated title	SenSys
Country/Territory	Japan
City	Virtual, Yokohama
Period	16/11/20 → 19/11/20
Internet address	http://sensys.acm.org/2020/ http://sensys.acm.org/2020/index.html

Keywords

localization
location privacy
sensor data

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Computer Networks and Communications

Access to Document

https://doi.org/10.1145/3384419.3430404

Cite this

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title = "Localization from Activity Sensor Data: poster abstract",

abstract = "In this work, we show that sensor data may leak a sensor{\textquoteright}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{\textquoteright}s stomach.",

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author = "Franz Papst and Naomi Stricker and Olga Saukh",

year = "2020",

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doi = "https://doi.org/10.1145/3384419.3430404",

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note = "18th ACM Conference on Embedded Networked Sensor Systems : SenSys 2020, SenSys ; Conference date: 16-11-2020 Through 19-11-2020",

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AU - Papst, Franz

AU - Stricker, Naomi

AU - Saukh, Olga

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N2 - 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.

AB - 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.

KW - localization

KW - location privacy

KW - sensor data

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U2 - https://doi.org/10.1145/3384419.3430404

DO - https://doi.org/10.1145/3384419.3430404

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Y2 - 16 November 2020 through 19 November 2020

ER -

Localization from Activity Sensor Data: poster abstract

Abstract

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Keywords

ASJC Scopus subject areas

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D4Dairy - Digitalisation, Data integration, Detection and Decision support in Dairying

Poster Abstract: Localization from Activity Sensor Data

Cite this

Localization from Activity Sensor Data: poster abstract

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

D4Dairy - Digitalisation, Data integration, Detection and Decision support in Dairying

Activities

Poster Abstract: Localization from Activity Sensor Data

Cite this