Authorized and Rogue LTE Terminal Identification Using Wavelet Coefficient Graph with Auto-encoder

Wu, Zhenni, Peng, Linning, Zhang, Junqing ORCID: 0000-0002-3502-2926, Liu, Ming, Fu, Hua and Hu, Aiqun
(2023) Authorized and Rogue LTE Terminal Identification Using Wavelet Coefficient Graph with Auto-encoder. In: 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 2022-9-26 - 2022-9-29.

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The wide popularity of 4G/5G mobile terminals increase the requirements of wireless security. Radio frequency fingerprint (RFF) technology can strengthen 4G/5G air interface accessing security at the physical layer. In this paper, a wavelet transform (WT) coefficient graphs RFF extraction with auto-encoder (AE) based rogue terminal detection scheme is proposed. At first, WT coefficients at 48 scales are extracted from the transient-power-off part of LTE physical random access channel (PRACH) preamble. Then, an AE network structure aimed for 2D WT coefficient graph is designed for rogue terminal detection. We successfully distinguish 7 mobile phones and 1 USRP under the proposed mechanism, where the authorized terminals from the same manufacturer can be identified with an accuracy of 90.08%. In addition, extensive experiments are carried out at LOS and NOLS scenarios, respectively, the proposed LTE identification scheme has demonstrated robustness in dynamic environments.

Item Type: Conference or Workshop Item (Unspecified)
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Uncontrolled Keywords: auto-encoder, LTE, Radio frequency fingerprinting, rogue terminal identification, wavelet
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 20 Mar 2023 09:40
Last Modified: 15 Mar 2024 14:44
DOI: 10.1109/VTC2022-Fall57202.2022.10012861
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