Title | Wi-SUN Device Authentication using Physical Layer Fingerprint |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Oh, Mi-Kyung, Lee, Sangjae, Kang, Yousung |
Conference Name | 2021 International Conference on Information and Communication Technology Convergence (ICTC) |
Keywords | authentication, composability, composabiloity, device authentication, feature extraction, Fingerprint recognition, Focusing, frequency estimation, frequency shift keying, IoT, Metrics, Physical layer, physical layer fingerprint, physical layer security, pubcrawl, Resiliency, Wi-SUN |
Abstract | This paper aims to identify Wi-SUN devices using physical layer fingerprint. We first extract physical layer features based on the received Wi-SUN signals, especially focusing on device-specific clock skew and frequency deviation in FSK modulation. Then, these physical layer fingerprints are used to train a machine learning-based classifier and the resulting classifier finally identifies the authorized Wi-SUN devices. Preliminary experiments on Wi-SUN certified chips show that the authenticator with the proposed physical layer fingerprints can distinguish Wi-SUN devices with 100 % accuracy. Since no additional computational complexity for authentication is involved on the device side, our approach can be applied to any Wi-SUN based IoT devices with security requirements. |
DOI | 10.1109/ICTC52510.2021.9620899 |
Citation Key | oh_wi-sun_2021 |