Parquet
X-CANIDS Dataset (In-Vehicle Signal Dataset)
In March 2024, one of our recent research "X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network" was published in IEEE Transactions on Vehicular Technology. Here we publish the dataset used in the article. We hope our dataset facilitates further research using deserialized signals as well as raw CAN messages.
Real-world data collection. Our benign driving dataset is unique in that it has been collected from real-world environments.
- Categories:
203 Views
In precision agriculture, detecting productive crop fields is an essential practice that allows the farmer to evaluate operating performance separately and compare different seed varieties, pesticides, and fertilizers. However, manually identifying productive fields is often time-consuming, costly, and subjective. Previous studies explore different methods to detect crop fields using advanced machine learning algorithms to support the specialists’ decisions, but they often lack good quality labeled data.
- Categories:
616 Views
This dataset contains simulation data of the LightGBM controller for spacecraft attitude control. The data were generated using a closed-loop system of spacecraft attitude dynamics under an exact feedback linearization-based controller.
- Categories:
51 Views
This dataset contains individual traces of a published synthetic dataset generator for wireless mobile networks using SUMO. The generated dataset is done with the map of the city of Berlin as base. The dataset has 21 cells of 7 base stations. Separate files were generated for traffic and radio signal quality, but can be joined by using the UE identifier.
- Categories:
707 Views