Representation Learning for Sensor-based Device Pairing

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorNguyen, Nguen_US
dc.contributor.authorJähne-Raden, Nicoen_US
dc.contributor.authorKulau, Ulfen_US
dc.contributor.authorSigg, Stephanen_US
dc.contributor.departmentDepartment of Communications and Networkingen
dc.contributor.groupauthorAmbient Intelligenceen
dc.contributor.organizationTechnische Universität Braunschweigen_US
dc.contributor.organizationHannover Medical Schoolen_US
dc.date.accessioned2018-12-10T10:08:43Z
dc.date.available2018-12-10T10:08:43Z
dc.date.issued2018-10-02en_US
dc.description.abstractThe emergence of on-body gadgets has introduced a novel research direction: unobtrusive and continuous device pairing. Existing approaches leveraged contextual information collected by sensors to generate secure communication keys. The secret information is represented throught hand-engineered features. In this paper, we propose a learning method based on Siamese neural networks to extract features that signify on-body context while separating off-body devices.en
dc.description.versionPeer revieweden
dc.format.extent4
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationNguyen, N, Jähne-Raden, N, Kulau, U & Sigg, S 2018, Representation Learning for Sensor-based Device Pairing. in 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018., 8480412, IEEE, pp. 508-511, IEEE International Conference on Pervasive Computing and Communications Workshops, Athens, Greece, 19/03/2018. https://doi.org/10.1109/PERCOMW.2018.8480412en
dc.identifier.doi10.1109/PERCOMW.2018.8480412en_US
dc.identifier.isbn9781538632277
dc.identifier.otherPURE UUID: 03f9bee8-5e80-46d5-a659-6b2f22a87dc7en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/03f9bee8-5e80-46d5-a659-6b2f22a87dc7en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/30202040/ELEC_Nguyen_Representation_Learning_for_Sensor_based_Device_Pairing.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/34897
dc.identifier.urnURN:NBN:fi:aalto-201812105912
dc.language.isoenen
dc.relation.ispartofIEEE International Conference on Pervasive Computing and Communications Workshopsen
dc.relation.ispartofseries2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018en
dc.relation.ispartofseriespp. 508-511en
dc.rightsopenAccessen
dc.titleRepresentation Learning for Sensor-based Device Pairingen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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