Identification of LoRa Device Based on Differential Constellation Trace Figure

doi:10.3969/j.issn.1671-1122.2021.01.005

Abstract

Abstract:

As a long-distance wireless transmission technology based on spread spectrum, LoRa is widely used in the field of Internet of Things, and the safety of LoRa device has also become a hot research direction. Aiming at the modulation principle and signal characteristics of LoRa, the identification method of LoRa device based on differential constellation trace figure is proposed, which cleverly transforms the device authentication problem into an image processing problem. The constellation trace figure of the received signals are processed by differential processing, and the clustering center of the differential constellation trace figure is obtained based on the clustering algorithm, which is used as the unique identifier of the device.In addition, the similarity calculation method based on Euclidean distance is used to match the cluster centers of devices to realize the authentication of terminal devices. The experimental results show that the LoRa device identification method based on differential constellation trace figure can accurately identify five LoRa transmission modules, and still has a high recognition rate in the case of low signal-to-noise ratio, which verifies the effectiveness and stability of the method.

Key words: LoRa, differential constellation trace figure, clustering algorithm, device identification

CLC Number:

TP309

SONG Yubo, GENG Yijin, LI Guyue, LI Tao. Identification of LoRa Device Based on Differential Constellation Trace Figure[J]. Netinfo Security, 2021, 21(1): 41-48.

Figures/Tables 8

References 19

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