Federated learning-enabled jamming detection and waveform classification for distributed tactical wireless networks

A Meftah, TN Do, G Kaddoum, C Talhi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we propose a federated learning (FL)-based jammer detection and waveform
classification algorithm for distributed tactical wireless networks (TWNs). More specifically …

Authentication by Intelligent Learning: A Novel Hybrid Deep Learning/Machine-Learning Radio Frequency Fingerprinting Scheme

TN Al-Qabbani, G Oligeri… - IEEE Journal of Radio …, 2024 - ieeexplore.ieee.org
LoRa technology, widely used in the Internet of Things (IoT) domain, faces challenges with
traditional cryptographic authentication methods due to power constraints and computing …

Adversarial attacks on LoRa device identification and rogue signal detection with deep learning

YE Sagduyu, T Erpek - MILCOM 2023-2023 IEEE Military …, 2023 - ieeexplore.ieee.org
Low-Power Wide-Area Network (LPWAN) technologies, such as LoRa, have gained
significant attention for their ability to enable long-range, low-power communication for …

LoRaSONN: A Novel Self-Operational Neural Network Learning Framework for RF-Fingerprint Identification of LoRa Devices

SP Singh, A Roy, U Satija - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Radio-frequency (RF) fingerprint identification leverages the inherent unique transmitter
hardware impairments to authenticate an emitter through an analysis of the received signal …

Deep learning enhanced spectrum sensing for LoRa spreading factor detection

PM Mutescu, A Lavric, AI Petrariu… - 2023 13th International …, 2023 - ieeexplore.ieee.org
Over the last decade, there has been a significant increase in the demand for wireless
sensor applications, in line with the increased connectivity of objects in the Internet of Things …

Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning

YE Sagduyu, T Erpek - arxiv preprint arxiv:2412.21164, 2024 - arxiv.org
LoRa provides long-range, energy-efficient communications in Internet of Things (IoT)
applications that rely on Low-Power Wide-Area Network (LPWAN) capabilities. Despite …

Improving recognition of Sub-GHz LPWANs: a deep learning approach with the UPC-LPWAN-1 dataset

E Maya-Olalla, M García-Lozano… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Deep neural networks (DNNs) have emerged as an effective technique for
modulation/system recognition but rely heavily on representative datasets. This paper …