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GEM-CAN: A real-world dataset of CAN-bus attack scenarios on an autonomous vehicle for intrusion-detection research

This paper presents GEM-CAN, a labelled Controller Area Network (CAN) dataset captured from an autonomous GEM e6 platform under both normal operation and controlled cyber-attack conditions.The dataset contains ∼143 K frames comprising (i) ∼ nominal autonomous operation (∼100k messages), (ii) DoS flo...

Deskribapen osoa

Gorde:
Egile Nagusiak: Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ali Karimoddini, Tienake Phuapaiboon, Milad Khaleghi, Daniel Tobias
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Elsevier 2026-06-01
Saila:Data in Brief
Gaiak:
CAN bus
Autonomous vehicles
Cybersecurity
Intrusion detection
Denial-of-service (DoS)
Data tampering
Sarrera elektronikoa:http://www.sciencedirect.com/science/article/pii/S2352340926003574
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