Signal relation-based physical layer authentication
| dc.authorid | 0000-0001-9474-7372 | |
| dc.contributor.author | Aygül, Mehmet Ali | |
| dc.contributor.author | Büyükçorak, Saliha | |
| dc.contributor.author | Costa, Daniel Benevides Da | |
| dc.contributor.author | Ateş, Hasan Fehmi | |
| dc.contributor.author | Arslan, Hüseyin | |
| dc.date.accessioned | 2021-01-11T12:50:23Z | |
| dc.date.available | 2021-01-11T12:50:23Z | |
| dc.date.issued | 2020 | |
| dc.department | İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | |
| dc.description.abstract | Most physical-layer authentication techniques use channel information to prevent spoofing attacks. In such techniques, one must estimate the channel information for each authentication procedure. However, when the number of pilots decreases, authentication accuracy also decreases due to low channel estimation quality. This paper proposes a novel signal relation-based authentication method that relies on the detection of received signal symbols and does not require the estimation of channel information in the testing stage. It is noteworthy that the authentication performance of the proposed scheme remains in a good level. We develop two different solutions for the detection of received signal symbols, namely, minimum mean-square error and long short-term memory. Extensive simulation results show the main insights of the proposed signal relation-based authentication method compared to conventional channel-based authentication method. | |
| dc.description.sponsorship | IEEE; Huawei; ZTE; Qualcomm | en_US |
| dc.identifier.citation | Aygül, M. A., Büyükçorak, S., Costa, D. B. D., Ateş, H. F. ve Arslan, H. (2020). Signal relation-based physical layer authentication. IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond. Dublin, Ireland, 7-11 June 2020. https://dx.doi.org/10.1109/ICC40277.2020.9148761 | |
| dc.identifier.doi | 10.1109/ICC40277.2020.9148761 | |
| dc.identifier.isbn | 9781728150895 | |
| dc.identifier.issn | 1550-3607 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://dx.doi.org/10.1109/ICC40277.2020.9148761 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/6225 | |
| dc.identifier.volume | 2020 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ec | info:eu-repo/grantAgreement/TUBITAK/SOBAG/119E433 | |
| dc.relation.ispartof | IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/embargoedAccess | |
| dc.subject | Long Short-Term Memory | |
| dc.subject | Physical Layer Authentication | |
| dc.subject | Signal Detection | |
| dc.subject | Spoofing Attack | |
| dc.title | Signal relation-based physical layer authentication | |
| dc.type | Conference Object |











