Unexpected Inferences from Sensor Data. A Hidden Privacy Threat in the Internet of Things

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dc.contributor.authorKröger, Jacob
dc.contributor.editorStrous, Leon
dc.contributor.editorCerf, Vinton G.
dc.date.accessioned2023-08-30T14:28:01Z
dc.date.available2023-08-30T14:28:01Z
dc.date.issued2019
dc.description.abstractA growing number of sensors, embedded in wearables, smart electric meters and other connected devices, is surrounding us and reaching ever deeper into our private lives. While some sensors are commonly regarded as privacy-sensitive and always require user permission to be activated, others are less protected and less worried about. However, experimental research findings indicate that many seemingly innocuous sensors can be exploited to infer highly sensitive information about people in their vicinity. This paper reviews existing evidence from the literature and discusses potential implications for consumer privacy. Specifically, the analysis reveals that certain insufficiently protected sensors in smart devices allow inferences about users’ locations, activities and real identities, as well as about their keyboard and touchscreen inputs. The presented findings call into question the adequacy of current sensor access policies. It is argued that most data captured by smart consumer devices should be classified as highly sensitive by default. An introductory overview of sensors commonly found in these devices is also provided, along with a proposed classification scheme.
dc.identifier.citationKröger, J. (2019). Unexpected Inferences from Sensor Data. A Hidden Privacy Threat in the Internet of Things. In L. Strous & V. G. Cerf (Hrsg.), Internet of Things. Information Processing in an Increasingly Connected World (Bd. 548, S. 147–159). Springer International Publishing. https://doi.org/10.1007/978-3-030-15651-0_13
dc.identifier.doihttps://doi.org/10.1007/978-3-030-15651-0_13
dc.identifier.eisbn978-3-030-15651-0
dc.identifier.eissn1868-422X
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/301
dc.identifier.zdb2510667-3
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.relation.ispartofhttps://doi.org/10.1007/978-3-030-15651-0
dc.relation.ispartofseriesIFIP advances in information and communication technology
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc004 Informatik
dc.titleUnexpected Inferences from Sensor Data. A Hidden Privacy Threat in the Internet of Things
dc.typeConferencePaper
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.booktitleInternet of Things. Information Processing in an Increasingly Connected World
dcterms.bibliographicCitation.originalpublisherplaceCham
dcterms.bibliographicCitation.pageend159
dcterms.bibliographicCitation.pagestart147
dcterms.bibliographicCitation.volume548
local.researchgroupVerantwortung und das Internet der Dinge
local.researchtopicVerantwortung – Vertrauen – Governance
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