The research area for autonomous vehicle's anomaly detection using machine learning hadn't considered using an Echo State Network with Federated Learning to create a fast hybrid-machine learning algorithm for the classification of various attacks that happen with autonomous vehicles.

The project uses datasets from these two places:

1. Car Hacking which consists of five files such as DoS_dataset.csv, Fuzzy_dataset.csv, gear_dataset.csv, RPM_dataset.csv, and normal_run_data.7z.
2. CAN Intrusion which consists of four files such as Attack_free_dataset.txt, DoS_attack_dataset.txt, Fuzzy_attack_dataset.txt, and Impersonation_attack_dataset.txt.

To gain access to these datasets, your e-mail and reasoning for wanting them will have to be shared with the authors by using a google form.