Secure Industrial IoT Systems via RF Fingerprinting Under Impaired Channels With Interference and Noise

Secure Industrial IoT Systems via RF Fingerprinting Under Impaired Channels With Interference and Noise

Industrial IoT-enabled critical infrastructures are susceptible to cyber attacks due to their mission-critical deployment. To ensure security by design, radio frequency (RF)-based security is considered an effective way for wirelessly monitored or actuated critical infrastructures. For this purpose,...

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Bibliographic Details
Main Authors: Omer Melih Gul, Michel Kulhandjian, Burak Kantarci, Azzedine Touazi, Cliff Ellement, Claude D'amours
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
data augmentation
radio frequency fingerprinting
secure design
unmanned aerial vehicles
Internet of Things (IoT)
Online Access:https://ieeexplore.ieee.org/document/10068504/

Internet

https://ieeexplore.ieee.org/document/10068504/

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