Research on ZigBee Device Recognition Based on Software Defined Radio

Abstract In order to solve the problem that ZigBee protocol sniffer analysis is based on proprietary chip platform and cannot obtain radio signal characteristics. A ZigBee protocol packet sniffing recognition method based on software defined radio is proposed. This paper proposes a ZigBee recognitio...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2290; no. 1; pp. 12040 - 12046
Main Authors Cheng, Kefei, Deng, Yujie, Zhang, Liang, Cui, Xiaotong, Chen, Jinghao, Luo, Wei
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2022
Subjects
Algorithms
Decision trees
Feature extraction
Neural networks
Physics
Radio signals
Recognition
Software radio
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Summary:Abstract In order to solve the problem that ZigBee protocol sniffer analysis is based on proprietary chip platform and cannot obtain radio signal characteristics. A ZigBee protocol packet sniffing recognition method based on software defined radio is proposed. This paper proposes a ZigBee recognition method based on software radio, and analyzes the characteristics of ZigBee protocol messages. The software radio receiving flow diagram is designed to extract the captured message features, and the experimental results of neural network, KNN, decision tree and random forest algorithm are compared. Finally, the decision tree + hybrid classifier achieves 93.1% recognition accuracy, which verifies that the ZigBee recognition method based on software radio proposed in this paper has a good effect.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2290/1/012040