Ethernet card discrimination using unintentional cable emissions and constellation-based fingerprinting
Document Type
Conference Proceeding
Publication Date
2-16-2015
Abstract
Improved network security is addressed using device dependent physical-layer (PHY) based fingerprints from Ethernet cards to augment traditional MAC-based ID verification. The investigation uses unintentional Ethernet cable emissions and device fingerprints comprised of Constellation-Based, Distinct Native Attribute (CB-DNA) features. Near-field collection probe derivative effects dictated the need for developing a two-dimensional (2D) binary constellation for demodulation and CB-DNA extraction. Results show that the 2D constellation provides reliable demodulation (bit estimation) and device discrimination using symbol cluster statistics for CB-DNA. Bit Error Rate (BER) and Cross-Manufacturer Discrimination (CMD) results are provided for 16 devices from 4 different manufactures. Device discrimination is assessed using both Nearest Neighbor (NN) and Multiple Discriminant Analysis, Maximum Likelihood (MDA/ML) classifiers. Overall results are promising and include CMD average classification accuracy of %C = 76.73% (NN) and %C = 91.38% (MDA/ML).
Source Publication
2015 International Conference on Computing, Networking and Communications (ICNC)
Recommended Citation
T. J. Carbino, M. A. Temple and T. J. Bihl, "Ethernet card discrimination using unintentional cable emissions and constellation-based fingerprinting," 2015 International Conference on Computing, Networking and Communications (ICNC), Garden Grove, CA, USA, 2015, pp. 369-373, doi: 10.1109/ICCNC.2015.7069371.
Comments
Copyright © 2015, IEEE.
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