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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...

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Asıl Yazarlar: Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ali Karimoddini, Tienake Phuapaiboon, Milad Khaleghi, Daniel Tobias
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Elsevier 2026-06-01
Seri Bilgileri:Data in Brief
Konular:
CAN bus
Autonomous vehicles
Cybersecurity
Intrusion detection
Denial-of-service (DoS)
Data tampering
Online Erişim:http://www.sciencedirect.com/science/article/pii/S2352340926003574
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