Phyfinatt: An undetectable attack framework against phy layer fingerprint-based wifi authentication

J Huang, B Liu, C Miao, X Zhang, J Liu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
WiFi connection has been suffering from MAC forgery attacks due to the loose authentication
mechanism between access points (APs) and clients. To address this problem, the physical …

Radio frequency fingerprinting techniques for device identification: a survey

S Abbas, M Abu Talib, Q Nasir, S Idhis… - International Journal of …, 2024 - Springer
Abstract The Internet of Things (IoT) paradigm and the advanced wireless technologies of
5G and beyond are expected to enable diverse applications such as autonomous driving …

A Zynq-based Platform with Conditional-reconfigurable Complex-valued Neural Network for Specific Emitter Identification

J Gan, Q Li, H Shao, Z Wen, T Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In wireless communication security and spectrum management, specific emitter identification
(SEI) is a potential technology to identify individual emitters. Recently, a novel SEI algorithm …

Toward Intelligent Lightweight and Efficient UAV Identification With RF Fingerprinting

Z Cai, Y Wang, Q Jiang, G Gui… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The inherent flexibility of small unmanned aerial vehicles (UAVs) enables their deployment
across various emerging markets. Unauthenticated UAVs pose a significant threat if they …

Design of Tiny Contrastive Learning Network with Noise Tolerance for Unauthorized Device Identification in Internet of UAVs

T Zhang, D Xu, O Alfarraj, K Yu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Artificial intelligence enhanced Internet of unmanned aerial vehicles (UAVs) is a promising
network to achieve the complicated vehicular tasks and construct intelligent communication …

Open-Set Specific Emitter Identification Leveraging Enhanced Metric Denoising Auto-Encoders

S Huang, L Guo, X Fu, Y Peng, Y Guo… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Specific Emitter Identification (SEI) is pivotal for ensuring the security of the Internet of Things
(IoT). Traditional deep learning-based SEI techniques often falter in real-world applications …

Domain-Adaptive Device Fingerprints for Network Access Authentication Through Multifractal Dimension Representation

B Johnson, B Hamdaoui - arXiv preprint arXiv:2308.07925, 2023 - arxiv.org
RF data-driven device fingerprinting through the use of deep learning has recently surfaced
as a potential solution for automated network access authentication. Traditional approaches …

Deep Fingerprinting Data Learning Based on Federated Differential Privacy for Resource-Constrained Intelligent IoT Systems

T Zhang, D Xu, Y Hu, V Pandi, Y Zhu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the rapid integration of Internet of Things (IoT) devices and artificial intelligence (AI)
function, the data management and privacy issue has drawn great attentions in intelligent …

PUF-Assisted Radio Frequency Fingerprinting Exploiting Power Amplifier Active Load-pulling

Y Li, K Xu, J Zhang, C Gu, Y Ding… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper presents a novel radio frequency fingerprint (RFF) enhancement strategy by
exploiting the physical unclonable function (PUF) to tune the RF hardware impairments in a …

[HTML][HTML] FeRHA: Fuzzy-Extractor-Based RF and Hardware Fingerprinting Two-Factor Authentication

M Alkanhal, M Younis, A Alali, SS Mehjabin - Applied Sciences, 2024 - mdpi.com
The Internet of Things (IoT) reflects the internetworking of numerous devices with limited
computational capabilities. Given the ad-hoc network formation and the dynamic nature of …