Cyber-Physical Security with RF Fingerprint Classification through Distance Measure Extensions of Generalized Relevance Learning Vector Quantization

Cyber-Physical Security with RF Fingerprint Classification through Distance Measure Extensions of Generalized Relevance Learning Vector Quantization

Radio frequency (RF) fingerprinting extracts fingerprint features from RF signals to protect against masquerade attacks by enabling reliable authentication of communication devices at the “serial number” level. Facilitating the reliable authentication of communication devices are machine learning (M...

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Bibliographic Details
Main Authors: Trevor J. Bihl, Todd J. Paciencia, Kenneth W. Bauer, Michael A. Temple
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Security and Communication Networks
Online Access:http://dx.doi.org/10.1155/2020/3909763

Internet

http://dx.doi.org/10.1155/2020/3909763

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