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Conference Paper
Wi-SUN Device Authentication using Physical Layer Fingerprint
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- Authors
- Mi-Kyung Oh, Sangjae Lee, Yousung Kang
- Issue Date
- 2021-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.160-162
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Clock skew, Computational complexity, Device authentication, FSK modulation, Frequency Deviation, IoT Devices, Learning-based, Physical Layer, Security requirements, Wi-SUN, machine Learning