蓝牙设备识别使用射频指纹和詹森-香农分歧
Rene Francisco Santana-Cruz1, Martin Moreno-Guzman2, César Enrique Rojas-López3
1Instituto Politécnico Nacional, Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada, Santiago de Querétaro 76090, Mexico.
Sensors (Basel, Switzerland)
|March 13, 2024
概括
使用Jensen-Shannon分歧 (JSD) 在蓝牙设备噪声上的无线电频率指纹 (RFF) 实现了99.5%的网络安全准确性. 这种方法可以独特地识别设备,即使是同一个型号的设备,从而增强无线身份验证.
科学领域:
- 网络安全和无线通信技术
- 信号处理和统计分析.
- 设备身份验证和识别
背景情况:
- 随着智能手机和物联网设备等射频 (RF) 设备的日益普及,需要采取先进的网络安全措施.
- 目前的识别方法难以区分同一品牌和型号的设备,这可能会带来安全风险.
- 强大而独特的设备识别对于保护无线通信网络至关重要.
研究的目的:
- 开发和评估一种用于识别蓝牙设备的新型RF指纹 (RFF) 方法.
- 为了利用无线电信号中的噪声统计分布来实现独特的设备特征.
- 通过准确可靠的隐性设备认证来增强网络安全.
主要方法:
- 将詹森-香农分歧 (JSD) 应用于射频信号中的噪声的统计分布.
- 使用噪声模型从蓝牙设备噪声中提取独特,通用和强大的统计RFF.
- 分析来自各种蓝牙设备的5Gsps收集的射频噪声数据.
- 将JSD噪声信号与已建立的RFF进行对比,以解决会员问题.
主要成果:
- 拟议的RFF方法实现了蓝牙设备的99.5%识别效率.
- 该技术成功地区分了单个设备,包括同一制造商和型号的设备.
- 一个独特的,永久的,可收集的统计RFF成功地被提取并用于识别.
结论:
- 从射频信号噪声中获得的统计RFF提供了一种非常有效的蓝牙设备识别方法.
- 这种方法显著推进了无线通信的隐性设备认证系统.
- 这些发现对涉及射频设备的网络安全和法医应用有实际意义.
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