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Extraction and Accumulation of Identity Attributes from the Internet of Things

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2021

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Gesellschaft für Informatik e.V.

Zusammenfassung

Internet of Things (IoT) devices with wireless communication provide person-relateable information usable as attributes in digital identities. By scanning and profiling these signals against location and time, identity attributes can be generated and accumulated. This article introduces the concept of harvesting identifiable information from IoT. It summarizes ongoing work that aims at assessing the amount of person-relatable attributes that can get extracted from public IoT signals. We present our experimental data collection in Oslo/Norway and discuss systematic harvesting, our preliminary results, and their implications.

Beschreibung

Fritsch, Lothar; Gruschka, Nils (2021): Extraction and Accumulation of Identity Attributes from the Internet of Things. Open Identity Summit 2021. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-706-7. pp. 179-192. Regular Research Papers. Copenhagen, Denmark. 01.-02. June 2021

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