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dc.contributor.authorAltop Karaoğlan, Duygu
dc.contributor.authorLevi, Albert
dc.contributor.authorTuzcu, Volkan
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:36:29Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:36:29Z
dc.date.issued2017en_US
dc.identifier.citationAltop Karaoğlan, D., Levi, A. ve Tuzcu, V. (2017). Feature-level fusion of physiological parameters to be used as cryptographic keys. IEEE International Conference on Communications (ICC). Paris, France, May 21-25, 2017. https://dx.doi.org/10.1109/ICC.2017.7996338en_US
dc.identifier.isbn9781467389990
dc.identifier.issn1550-3607
dc.identifier.urihttps://hdl.handle.net/20.500.12511/1177
dc.identifier.urihttps://dx.doi.org/10.1109/ICC.2017.7996338
dc.description.abstractIn this paper, we propose two novel feature-level fused physiological parameter generation techniques: (i) concat-fused physiological parameter generation, and (ii) xor-fused physiological parameter generation, output of which can be used to secure the communication among the biosensors in Body Area Network (BAN). In these physiological parameter generation techniques, we combine a time-domain physiological parameter with a frequency-domain physiological parameter, in order to achieve robust performance compared to their singular versions. We analyze both the performance and the quality of the outcomes. Our results show that we generate good candidates of physiological parameters that can be used as cryptographic keys to provide security for the intra-network communication in BANs.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectBio-Cryptographyen_US
dc.subjectBody Area Network Securityen_US
dc.subjectCryptographic Key Generationen_US
dc.subjectFeature-Level Fusionen_US
dc.subjectKey Agreementen_US
dc.subjectPhysiological Signalsen_US
dc.titleFeature-level fusion of physiological parameters to be used as cryptographic keysen_US
dc.typeconferenceObjecten_US
dc.relation.ispartofIEEE International Conference on Communications (ICC)en_US
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Kardiyoloji Ana Bilim Dalıen_US
dc.authorid0000-0001-9008-4997en_US
dc.relation.ecinfo:eu-repo/grantAgreement/TUBITAK/SOBAG/114E557en_US
dc.relation.ecinfo:eu-repo/grantAgreement/TUBITAK/SOBAG/BIDEB 2211-Cen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/ICC.2017.7996338en_US


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