基于差分星座轨迹图的LoRa设备识别方法

doi:10.3969/j.issn.1671-1122.2021.01.005

信息网络安全 ›› 2021, Vol. 21 ›› Issue (1): 41-48.doi: 10.3969/j.issn.1671-1122.2021.01.005

基于差分星座轨迹图的LoRa设备识别方法

宋宇波¹^,²^,³(), 耿益瑾¹^,²^,³, 李古月¹^,²^,³, 李涛¹^,²^,³

1.东南大学网络空间安全学院,南京 211189
2.江苏省计算机网络技术重点实验室,南京 211189
3.网络通信与安全紫金山实验室,南京 211189

收稿日期:2020-11-02 出版日期:2021-01-10 发布日期:2021-02-23
通讯作者: 宋宇波 E-mail:songyubo@seu.edu.cn
作者简介:宋宇波（1977—）,男,江苏,副教授,博士,主要研究方向为网络流量安全分析|耿益瑾（1997—）,女,江苏,硕士研究生,主要研究方向为无线设备指纹|李古月（1989—）,女,江苏,副教授,博士,主要研究方向为物理层安全、无线通信安全|李涛（1984—）,男,江苏,副教授,博士,主要研究方向为安全评估、移动终端防护
基金资助:
国家自然科学基金(61601113);东南大学基本科研业务费(2019021)

Identification of LoRa Device Based on Differential Constellation Trace Figure

SONG Yubo¹^,²^,³(), GENG Yijin¹^,²^,³, LI Guyue¹^,²^,³, LI Tao¹^,²^,³

1. School of Cyber Science and Engineering, Southeast University, Nanjing 211189, China
2. Jiangsu Key Laboratory of Computer Networking Technology, Nanjing 211189, China
3. Purple Mountain Laboratory of Network Communication and Security, Nanjing 211189, China

Received:2020-11-02 Online:2021-01-10 Published:2021-02-23
Contact: SONG Yubo E-mail:songyubo@seu.edu.cn

摘要/Abstract

摘要：

LoRa作为一种扩频远距离无线传输技术,广泛应用于物联网领域,其终端设备的安全问题也随之成为热点研究对象。针对LoRa的调制原理及信号特性,文章提出一种基于差分星座轨迹图的LoRa设备识别方法,将终端设备认证问题转化为图像处理问题。该方法将接收信号的星座轨迹图进行差分处理,并基于聚类算法获得差分星座轨迹图的聚类中心,作为设备的唯一标识。此外基于欧式距离的相似度计算方法,对设备聚类中心进行匹配,实现终端设备的身份认证。实验结果表明,基于差分星座轨迹图的LoRa设备识别方法准确识别了4个LoRa传输模块,在信噪比较低的情况下仍具有较高的识别率,验证了方法的有效性和稳定性。

关键词: LoRa, 差分星座轨迹图, 聚类算法, 设备识别

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

中图分类号:

TP309

宋宇波, 耿益瑾, 李古月, 李涛. 基于差分星座轨迹图的LoRa设备识别方法[J]. 信息网络安全, 2021, 21(1): 41-48.

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.

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基于差分星座轨迹图的LoRa设备识别方法

Identification of LoRa Device Based on Differential Constellation Trace Figure

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信噪比/db	识别准确率/%
-12	86
-11	96
-10	98.6
5	98.8
15	99