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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Autori principali:	Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ali Karimoddini, Tienake Phuapaiboon, Milad Khaleghi, Daniel Tobias
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-06-01
Serie:	Data in Brief
Soggetti:	CAN bus Autonomous vehicles Cybersecurity Intrusion detection Denial-of-service (DoS) Data tampering
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2352340926003574
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