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A Comparison of PHY-Based Fingerprinting Methods Used to Enhance Network Access Control

Abstract : Network complexity continues to evolve and more robust measures are required to ensure network integrity and mitigate unauthorized access. A physical-layer (PHY) augmentation to Medium Access Control (MAC) authentication is considered using PHY-based Distinct Native Attribute (DNA) features to form device fingerprints. Specifically, a comparison of waveform-based Radio Frequency DNA (RF-DNA) and Constellation-Based DNA (CB-DNA) fingerprinting methods is provided using unintentional Ethernet cable emissions for 10BASE-T signaling. For the first time a direct comparison is achievable between the two methods given the evaluation uses the same experimentally collected emissions to generate RF-DNA and CB-DNA fingerprints. RF-DNA fingerprinting exploits device dependent features derived from instantaneous preamble responses within communication bursts. For these same bursts, the CB-DNA approach uses device dependent features derived from mapped symbol clusters within an adapted two-dimensional (2D) binary constellation. The evaluation uses 16 wired Ethernet devices from 4 different manufacturers and both Cross-Model (manufacturer) Discrimination (CMD) and Like-Model (serial number) Discrimination (LMD) is addressed. Discrimination is assessed using a Multiple Discriminant Analysis, Maximum Likelihood (MDA/ML) classifier. Results show that both RF-DNA and CB-DNA approaches perform well for CMD with average correct classification of % C =90% achieved at Signal-to-Noise Ratios of S N R 12.0  dB. Consistent with prior related work, LMD discrimination is more challenging with CB-DNA achieving % C =90.0% at S N R  dB and significantly outperforming RF-DNA which only achieved % C =56.0% at this same S N R .
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Contributor : Hal Ifip <>
Submitted on : Wednesday, July 13, 2016 - 10:59:59 AM
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Timothy Carbino, Michael Temple, Juan Lopez Jr.. A Comparison of PHY-Based Fingerprinting Methods Used to Enhance Network Access Control. 30th IFIP International Information Security Conference (SEC), May 2015, Hamburg, Germany. pp.204-217, ⟨10.1007/978-3-319-18467-8_14⟩. ⟨hal-01345109⟩



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