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.
|
PDF
Authorized_and_Rogue_LTE_Terminal_Identification_Using_Wavelet_Coefficient_Graph_with_Auto_encoder.pdf - Author Accepted Manuscript Download (2MB) | Preview |
Abstract
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) |
|---|---|
| Additional Information: | (c) 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
| 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 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3169154 |
Dimensions
Dimensions
