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Device fingerprinting for cyber-physical systems: a survey
The continued growth of the cyber-physical system (CPS) and Internet of Things
technologies raises device security and monitoring concerns. For device identification …
technologies raises device security and monitoring concerns. For device identification …
Radio frequency fingerprinting via deep learning: Challenges and opportunities
Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices
at the physical layer based on inherent hardware imperfections introduced during …
at the physical layer based on inherent hardware imperfections introduced during …
[HTML][HTML] Comprehensive performance analysis of zigbee communication: an experimental approach with XBee S2C module
The recent development of wireless communications has prompted many diversified
applications in both industrial and medical sectors. Zigbee is a short-range wireless …
applications in both industrial and medical sectors. Zigbee is a short-range wireless …
A graphical deep learning approach to rf fingerprinting in the time-frequency domain
The emergence of the Internet of Things (IoT) as a global infrastructure of interconnected
network of heterogeneous wireless devices and sensors is opening new opportunities in …
network of heterogeneous wireless devices and sensors is opening new opportunities in …
Ensuring the longevity of WirelessHART devices in industrial automation and control systems using distinct native attribute fingerprinting
MJ Maier, HS Hayden, MA Temple… - International Journal of …, 2023 - Elsevier
Distinct native attribute fingerprinting is considered as a means to ensure the longevity of
WirelessHART communication devices used in industrial automation and control systems …
WirelessHART communication devices used in industrial automation and control systems …
Open-set specific emitter identification based on prototypical networks and extreme value theory
C Wang, Y Wang, Y Zhang, H Xu, Z Zhang - Applied Sciences, 2023 - mdpi.com
Much research has focused on classification within a closed set of emitters, while emitters
outside this closed set are misclassified. This paper proposes an open-set recognition …
outside this closed set are misclassified. This paper proposes an open-set recognition …
Effects of RF Signal Eventization Encoding on Device Classification Performance
MJ Smith, MA Temple, JW Dean - Electronics, 2024 - mdpi.com
The results of first-step research activity are presented for realizing an envisioned “event
radio” capability that mimics neuromorphic event-based camera processing. The energy …
radio” capability that mimics neuromorphic event-based camera processing. The energy …
Fingerprint Extraction Through Distortion Reconstruction (FEDR): A CNN-Based Approach to RF Fingerprinting
JAG del Arroyo, BJ Borghetti… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Radio Frequency Fingerprinting (RFF) is the attribution of uniquely identifiable signal
distortions to emitters via Machine Learning (ML) classifiers. RFF approaches relying on pre …
distortions to emitters via Machine Learning (ML) classifiers. RFF approaches relying on pre …
Discriminating WirelessHART Communication Devices Using Sub-Nyquist Stimulated Responses
JD Long, MA Temple, CM Rondeau - Electronics, 2023 - mdpi.com
Reliable detection of counterfeit electronic, electrical, and electromechanical devices within
critical information and communications technology systems ensures that operational …
critical information and communications technology systems ensures that operational …
[HTML][HTML] Rf eigenfingerprints, an efficient rf fingerprinting method in iot context
L Morge-Rollet, F Le Roy, D Le Jeune, C Canaff… - Sensors, 2022 - mdpi.com
In IoT networks, authentication of nodes is primordial and RF fingerprinting is one of the
candidates as a non-cryptographic method. RF fingerprinting is a physical-layer security …
candidates as a non-cryptographic method. RF fingerprinting is a physical-layer security …