Securing ZigBee Commercial Communications Using Constellation Based Distinct Native Attribute Fingerprinting
This work provides development of Constellation Based DNA (CB-DNA) Fingerprinting for use in systems employing quadrature modulations and includes network protection demonstrations for ZigBee offset quadrature phase shift keying modulation. Results are based on 120 unique networks comprised of seven authorized ZigBee RZSUBSTICK devices, with three additional like-model devices serving as unauthorized rogue devices. Authorized network device fingerprints are used to train a Multiple Discriminant Analysis (MDA) classifier and Rogue Rejection Rate (RRR) estimated for 2520 attacks involving rogue devices presenting themselves as authorized devices. With MDA training thresholds set to achieve a True Verification Rate (TVR) of TVR = 95% for authorized network devices, the collective rogue device detection results for SNR ≥ 12 dB include average burst-by-burst RRR ≈ 94% across all 2520 attack scenarios with individual rogue device attack performance spanning 83.32% < RRR < 99.81%.
Security and Communication Networks
Rondeau, C. M., Betances, J. A., & Temple, M. A. (2018). Securing ZigBee Commercial Communications Using Constellation Based Distinct Native Attribute Fingerprinting. Security and Communication Networks, 2018, Article 1489347. https://doi.org/10.1155/2018/1489347
This is an open access article published by Hindawi and distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. CC BY 4.0
Sourced from the published version of record cited below.