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Extraction and Accumulation of Identity Attributes from the Internet of Things

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dc.contributor.authorFritsch, Lothar
dc.contributor.authorGruschka, Nils
dc.contributor.editorRoßnagel, Heiko
dc.contributor.editorSchunck, Christian H.
dc.contributor.editorMödersheim, Sebastian
dc.date.accessioned2021-05-20T13:12:13Z
dc.date.available2021-05-20T13:12:13Z
dc.date.issued2021
dc.description.abstractInternet 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.en
dc.identifier.isbn978-3-88579-706-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/36491
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofOpen Identity Summit 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-312
dc.subjectIoT
dc.subjectprofiling
dc.subjectidentification
dc.subjectidentity attributes
dc.subjectprivacy
dc.titleExtraction and Accumulation of Identity Attributes from the Internet of Thingsen
dc.typeText/Conference Paper
gi.citation.endPage192
gi.citation.publisherPlaceBonn
gi.citation.startPage179
gi.conference.date01.-02. June 2021
gi.conference.locationCopenhagen, Denmark
gi.conference.sessiontitleRegular Research Papers

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