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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Published in | Journal of physics. Conference series Vol. 2290; no. 1; pp. 12040 - 12046 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.06.2022
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Subjects | |
Online Access | Get full text |
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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. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/2290/1/012040 |