A 24-hour signal recording dataset with labels for cybersecurity and IoT

The dataset contains: 1. We conducted a A 24-hour recording of ADS-B signals at DAB on 1090 MHz with USRP B210 (8 MHz sample rate). In total, we got the signals from more than 130 aircraft. 2. An enhanced gr-adsb, in which each message's digital baseband (I/Q) signals and metadata (flight information) are recorded simultaneously. The output file path can be specified in the property panel of the ADS-B decoder submodule. 3. Our GnuRadio flow for signal reception. 4. Matlab code of the paper, wireless device identification using the zero-bias neural network.

本数据集包含以下内容：1. 在DAB站点，我们使用USRP B210（采样率为8 MHz）对1090 MHz频段的ADS-B信号进行了为期24小时的连续记录。总计，我们收集到了超过130架飞机的信号。2. 提供了增强版的gr-adsb工具，其中每个消息的数字基带（I/Q）信号及元数据（飞行信息）均被同步记录。ADS-B解码器子模块属性面板中可指定输出文件路径。3. 包含信号接收的GnuRadio流程。4. 论文中使用的Matlab代码，该代码实现了利用零偏置神经网络进行无线设备识别。