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

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dc.contributor.author Kröger, Jacob
dc.date.accessioned 2021-12-13T05:13:30Z
dc.date.available 2021-12-13T05:13:30Z
dc.date.issued 2019
dc.identifier.citation Kröger J. (2019) Unexpected Inferences from Sensor Data: A Hidden Privacy Threat in the Internet of Things. In: Strous L., Cerf V. (eds) Internet of Things. Information Processing in an Increasingly Connected World. IFIPIoT 2018. IFIP Advances in Information and Communication Technology, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-030-15651-0_13 en_US
dc.identifier.isbn 978-3-030-15651-0
dc.identifier.uri https://doi.org/10.1007/978-3-030-15651-0_13
dc.identifier.uri ${sadil.baseUrl}/handle/123456789/2229
dc.description 13 p. ; PDF en_US
dc.description.abstract A 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 en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Privacy en_US
dc.subject Sensors en_US
dc.subject Internet of Things en_US
dc.subject Inference attacks en_US
dc.subject Information leaks en_US
dc.title Unexpected Inferences from Sensor Data: A Hidden Privacy Threat in the Internet of Things en_US
dc.type Book chapter en_US


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