RF Jamming Detection Dataset for Vehicular Wireless Networks

The RF Jamming Detection 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.