dc.contributor.author | Karaoğlan Altop, Duygu | |
dc.contributor.author | Levi, Albert | |
dc.contributor.author | Tuzcu, Volkan | |
dc.date.accessioned | 10.07.201910:49:13 | |
dc.date.accessioned | 2019-07-10T20:02:31Z | |
dc.date.available | 10.07.201910:49:13 | |
dc.date.available | 2019-07-10T20:02:31Z | |
dc.date.issued | 2017 | en_US |
dc.identifier.citation | Karaoğlan Altop, D., Levi, A. ve Tuzcu, V. (2017). Deriving cryptographic keys from physiological signals. Pervasive and Mobile Computing, 39, 65-79. https://dx.doi.org/10.1016/j.pmcj.2016.08.004 | en_US |
dc.identifier.issn | 1574-1192 | |
dc.identifier.issn | 1873-1589 | |
dc.identifier.uri | https://dx.doi.org/10.1016/j.pmcj.2016.08.004 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12511/3666 | |
dc.description | WOS: 000404826700004 | en_US |
dc.description.abstract | Biosensors aim at providing pervasive healthcare by collecting and communicating highly sensitive medical information. Due to their extreme limitations, lightweight and secure key management infrastructures are required. For this reason, biosensors use physiological parameters that are generated from different vital signals (i.e., electrocardiogram, photoplethysmogram, blood pressure) to protect the exchanged private health information. In this paper, we define two novel physiological parameter generation techniques and 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 secure the communication among the biosensors. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [114E557] | en_US |
dc.description.sponsorship | This work was partially supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant 114E557 and part of this work was presented in PervasiveHealth 2015 (Altop et al., 2015). | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier Siences Bv | en_US |
dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
dc.subject | Cryptographic Key Generation | en_US |
dc.subject | Body Area Networks | en_US |
dc.subject | Physiological Signals | en_US |
dc.subject | Bio-Cryptography | en_US |
dc.title | Deriving cryptographic keys from physiological signals | en_US |
dc.type | article | en_US |
dc.relation.ispartof | Pervasive and Mobile Computing | en_US |
dc.department | İstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Çocuk Sağlığı ve Hastalıkları Ana Bilim Dalı | en_US |
dc.authorid | 0000-0001-9008-4997 | en_US |
dc.identifier.volume | 39 | en_US |
dc.identifier.startpage | 65 | en_US |
dc.identifier.endpage | 79 | en_US |
dc.relation.ec | info:eu-repo/grantAgreement/TUBITAK/SOBAG/114E557 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1016/j.pmcj.2016.08.004 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.identifier.scopusquality | Q2 | en_US |