Affiliation:
1. School of Computer Science and Technology, Xidian University, Xi’an 710071, China
2. College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang 050024, China
Abstract
Utilizing a multi-frame signal (MFS) rather than a single-frame signal (SFS) for radio frequency fingerprint authentication (RFFA) shows the advantage of higher accuracy. However, previous studies have often overlooked the associated security threats in MFS-based RFFA. In this paper, we focus on the carrier-sense multiple access with collision avoidance channel and identify a potential security threat, in that an attacker may inject a forged frame into valid traffic, making it more likely to be accepted alongside legitimate frames. To counter such a security threat, we propose an innovative design called the inter-frame-relationship protected signal (IfrPS), which enables the receiver to determine whether two consecutively received frames originate from the same transmitter to safeguard the MFS-based RFFA. To demonstrate the applicability of our proposition, we analyze and numerically evaluate two important properties: its impact on message demodulation and the accuracy gain in IfrPS-aided, MFS-based RFFA compared with the SFS-based RFFA. Our results show that the proposed scheme has a minimal impact of only −0.5 dB on message demodulation, while achieving up to 5 dB gain for RFFA accuracy.
Funder
Jinan “20 New Colleges and Universities” Introduction and Innovation Team
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference29 articles.
1. Topal, O.A., and Kurt, G.K. (2022, January 10–13). Physical Layer Authentication for LEO Satellite Constellations. Proceedings of the 2022 IEEE Wireless Communications and Networking Conference (WCNC), Austin, TX, USA.
2. Physical Layer Authentication based on Integrated Semi-Supervised Learning in Wireless Networks for Dynamic Industrial Scenarios;Du;IEEE Trans. Veh. Technol.,2022
3. Analysis and Compensation of Transmitter and Receiver I/Q Imbalances in Space-Time Coded Multiantenna OFDM Systems;Zou;Eurasip J. Wirel. Commun. Netw.,2008
4. Liao, R., Wen, H., Wu, J., Pan, F., Xu, A., Jiang, Y., Xie, F., and Cao, M. (2019). Deep-learning-based physical layer authentication for industrial wireless sensor networks. Sensors, 19.
5. Visibility Graph Entropy based Radiometric Feature for Physical Layer Identification;Zeng;Hoc. Netw.,2022