Serial Number: 116
Year: 2024
Kind of Traffic: Real
Publicly Available: Yes
Count of Records:
Features Count: 5
No. of citations: 5
Attack Type: Dos, fuzzing, spoofing, replay
Download Links: https://archive.ics.uci.edu/dataset/1035/can-mirgu
Abstract: The CAN-MIRGU dataset is a comprehensive resource for IDS development in autonomous electric vehicles, featuring six weeks of benign CAN traffic and diverse attack scenarios, including DoS, fuzzing, replay, spoofing, suspension, and masquerade attacks. Captured at 500 Kbps under realistic and controlled conditions, it highlights timing and frequency impacts, enhancing IDS research for detecting sophisticated CAN-bus intrusions.