RF Fingerprinting of IoT Devices Based on Transient Energy Spectrum
Yazarlar (3)
Dr. Öğr. Üyesi Memduh KÖSE Kırşehir Ahi Evran Üniversitesi, Türkiye
Dr. Öğr. Üyesi Selçuk Taşcıoğlu Ankara Üniversitesi, Türkiye
Ziya Telatar Ankara Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | IEEE Access (Q1) | ||
| Dergi ISSN | 2169-3536 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2019 |
| Cilt / Sayı / Sayfa | 7 / 1 / 18715–18726 | DOI | 10.1109/ACCESS.2019.2896696 |
| Makale Linki | https://ieeexplore.ieee.org/abstract/document/8631016 | ||
| Özet |
| Radio frequency (RF) fingerprinting is considered as one of the promising techniques to enhance wireless security in the Internet of Things (IoT) applications. In this paper, a low-complexity RF fingerprinting method for classification of wireless IoT devices is proposed. The method is based on the energy spectrum of the transmitter turn-on transient signals from which unique characteristics of wireless devices are extracted. The number of spectral components to be used is determined through a proposed approach based on the estimated transient duration value. Transient duration estimation is achieved from the smoothed versions of the instantaneous amplitude characteristics of transmitter signals, which are obtained through a sliding windowaveraging method. Classification performance of the proposed spectral fingerprints is assessed using experimental data and described by a confusion matrix. The … |
| Anahtar Kelimeler |
| Internet of Things (IoT) security | radio transmitter turn-on transient | RF fingerprinting | transient energy spectrum | wireless device identification |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 93 |
| Scopus | 106 |
| Google Scholar | 139 |