Securing ZigBee Commercial Communications Using Constellation Based Distinct Native Attribute Fingerprinting

摘要: This work provides development of Constellation Based DNA (CB-DNA) Fingerprinting for use in systems employing quadrature modulations and includes network protection demonstrations ZigBee offset phase shift keying modulation. Results are based on 120 unique networks comprised seven authorized RZSUBSTICK devices, with three additional like-model devices serving as unauthorized rogue devices. Authorized device fingerprints used to train a Multiple Discriminant Analysis (MDA) classifier Rogue Rejection Rate (RRR) estimated 2520 attacks involving presenting themselves With MDA training thresholds set achieve True Verification (TVR) TVR = 95% the collective detection results SNR ≥ 12 dB include average burst-by-burst RRR ≈ 94% across all attack scenarios individual performance spanning 83.32% < 99.81%.