RF Jamming Dataset for Vehicular Wireless Networks

The "RF Jamming Dataset for Vehicular Wireless Networks" presents a comprehensive collection of data used in the research paper titled "RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless Networks." This dataset comprises diverse scenarios of RF jamming attacks and interference in Vehicular Ad-hoc Networks (VANETs), along with corresponding ground truth labels. The dataset is designed to support the evaluation and development of detection algorithms for RF jamming attacks in VANETs. It includes measurements of key features, such as variations of relative speed (VRS), received signal strength indicator (RSSI), signal-to-interference-and-noise ratio (SINR), and packet delivery ratio (PDR). Researchers and practitioners in the field of wireless communication security can utilize this dataset to advance the development of RF jamming detection techniques and enhance the robustness of VANETs against malicious interference.

《车联网无线网络中的射频干扰数据集》汇集了用于研究论文《基于车联网无线网络中相对速度估计的射频干扰分类》中的数据。本数据集涵盖了车联网自组织网络（VANETs）中射频干扰攻击和干扰的多种场景，并附有相应的真实标签。该数据集旨在支持射频干扰攻击检测算法在VANETs中的评估与开发。数据集包括关键特征测量，如相对速度变化（VRS）、接收信号强度指示器（RSSI）、信噪干扰比（SINR）以及数据包投递比（PDR）。无线通信安全领域的学者和从业者可利用此数据集推进射频干扰检测技术的进步，并增强VANETs对恶意干扰的鲁棒性。