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Comparative Analysis of RF Emission Based Fingerprinting Techniques for ZigBee Device Classification.
| 题名： | Comparative Analysis of RF Emission Based Fingerprinting Techniques for ZigBee Device Classification. |
| 作者： | Coon, C. W. |
| 关键词： | Control systems, Bandwidth, Radio frequency, Computer network security, Cross correlation, Phase shift, Wireless networks, Wireless communications, Sensor networks, Signal processing, Software defined radio, Wireless sensor networks, Wireless personal area networks, Cb-dna, Rf-dna, Cor-dna, Physical layer, Device classification, Zigbee, O-qpsk |
| 摘要： | LR-WPAN are increasingly being fielded to complete tasks in autonomous sensor networks, industrial control systems, and other critical infrastructure. ZigBee is a versatile LR-WPAN platform that also open to risks of sophisticated bit-level attacks. PHY based security measures have been shown in previous research efforts as effective supplemental security measures that a not susceptible to bit-level attacks. This research effort intends to quantify the differences invarious RF fingerprinting techniques via comparative analysis of MDA/ML classification results. The findings herein demonstrate a methodology for the generation of CB-DNA, RF-DNA, and COR-DNA fingerprints. The results show that CB-DNA generated fingerprints had the highest mean correct classification rates followed by COR-DNA and then RF-DNA in most test cases and especially in low Eb/N0 ranges, where ZigBee is designed to operate. |
| 报告类型： | 科技报告 |
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