Real ORNL Automotive Dynamometer (ROAD) CAN Intrusion Dataset

The Real ORNL Automotive Dynamometer (ROAD) CAN IDS dataset consistis of over 3.5 hours of one vehicle's CAN data. ROAD contains ambient data recorded during a diverse set of activities, and attacks of increasing stealth with multiple variants and instances of real (i.e. non-simulated) fuzzing, fabrication, unique advanced attacks, and simulated masquerade attacks. In addition to the "raw" CAN format, the data is also provided in a the signal time series format for many of the CAN captures. Authors: Miki E. Verma, Robert A. Bridges, Michael D. Iannacone, Samuel C. Hollifield, Pablo Moriano, Bill Kay, Steven Hespeler and Frank L. Combs Citation: Please cite the paper with full description (preprint https://arxiv.org/abs/2012.14600, PLoS ONE publication to appear in 2024)