Results 61 to 70 of about 5,152 (203)
RF Fingerprinting Using Artificial Neural Networks
, 2018 Wireless communications systems are highly susceptible to spoofing attacks where attackers attempt to impersonate other stations. This project applies the technique of Radio Frequency (RF) fingerprinting to verify the identity of wireless devices at the ...
He, Sunny
core
Radio frequency fingerprinting and its challenges
, 2014 RF fingerprinting aims to develop a unique RF fingerprint for a wireless device that can be used as an identity, in the same way a biological fingerprint operates, to improve the security and privacy of wireless communication.
Shafiq Alam +7 more
core +1 more source
Why RF Fingerprinting Needs Better Data, Not Bigger Models
IEEE AccessRecent advances in Radio Frequency Fingerprint Identification have demonstrated impressive classification performance, often relying on deep neural networks.
Emma Bothereau +4 more
doaj +1 more source
Physical layer identification of LoRa devices using constellation trace figure
EURASIP Journal on Wireless Communications and Networking, 2019 LoRa wireless technology is a revolutionary wireless network access technology with a wide application prospect. An identification method for Lora devices based on physical layer fingerprinting is proposed to provide identities for authentication ...
Yu Jiang +5 more
doaj +1 more source
RF fingerprinting : research opportunities
, 2015 Radio Frequency (RF) fingerprinting aims to de- velop a unique identity for a wireless device that can be used in the same way a biological fingerprint operates, to improve the security and privacy of wireless communication.
Sowerby, K.W. +2 more
core
Deep Complex-valued Convolutional Neural Network for Drone Recognition Based on RF Fingerprinting
, 2020 Drones-aided ubiquitous applications play more and more important roles in our daily life. Accurate recognition of drones is required in aviation management due to their potential risks and even disasters.Radio frequency (RF) fingerprinting-based ...
Guangwei Qing (8689320) +6 more
core +1 more source
Indoor Positioning by Double Deep Q-Network in VLC-Based Empty Office Environment
Applied SciencesRecently, artificial intelligence (AI) has been applied in various industries. One such application is indoor user positioning using Big Data. The traditional method for positioning is the global positioning system (GPS).
Sung Hyun Oh, Jeong Gon Kim
doaj +1 more source
Locating Small Cells Using Geo-located UE Measurement Reports & RF Fingerprinting [PDF]
, 2015 This paper proposes a number of methods to determine potential small cell site locations using geo-located UE measurement reports in order to maximise the traffic offload from the macrocell network onto the small cells.
Robert Joyce +3 more
core +1 more source
DASTAN-CNN: RF Fingerprinting for the Mitigation of Membership Inference Attacks in 5G
, 2023 The fifth generation (5G) networks are designed to support a large range of diverse services with strict performance requirements. Studies suggest that, 5G uses machine learning technologies for variety of tasks ranging from network management, and ...
Dev K. +4 more
core +1 more source
Explanation-Guided Backdoor Attacks Against Model-Agnostic RF Fingerprinting Systems [PDF]
Despite the proven capabilities of deep neural networks (DNNs) in identifying devices through radio frequency (RF) fingerprinting, the security vulnerabilities of these deep learning models have been largely overlooked.
Zhang, Junqing +3 more
core +1 more source