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Kookmin University team wins Best Artifact Award at global vehicle security conference

From Hankyoreh · () Korean

Translated from Korean, summarized and contextualized by DistantNews.

At a glance

News Named sources Outcome reported
  • A joint research team from Kookmin University and Korea University won the Best Artifact Award at the USENIX VehicleSec 2026 conference.
  • The team proposed 'AutoHack,' a cybersecurity dataset collected from a moving vehicle, addressing limitations of existing datasets that used simulations or single communication networks.
  • The AutoHack dataset synchronizes traffic from three major vehicle communication networks, enabling analysis of inter-network interactions and attack propagation, and is publicly available on Zenodo.

A collaborative research effort between Kookmin University and Korea University has earned international recognition, securing the Best Artifact Award at the prestigious USENIX VehicleSec 2026 conference. The award celebrates the team's innovative 'AutoHack' dataset, a cybersecurity resource derived from real-world vehicle data.

The joint team, led by Professor Jeon Sang-hoon from Kookmin University's Department of Automotive Mobility IT Convergence and Professor Kim Hwi-kang from Korea University's Hacking Response Technology Research Lab, tackled a critical gap in existing vehicle security research. Previous datasets often relied on simulations or focused on single vehicle communication networks (CAN bus), failing to capture the complexities of modern, interconnected vehicles.

This achievement demonstrates that joint research between universities and practical security competitions can lead to world-class research.

— Jeon Sang-hoonProfessor Jeon Sang-hoon of Kookmin University commented on the award and its implications for future research and talent development.

AutoHack addresses this by collecting synchronized cybersecurity data from three major internal vehicle communication networks. This allows for detailed analysis of how cyberattacks propagate across different networks and how they interact. The dataset also includes irregular communication data, providing a more robust foundation for testing intrusion detection systems that previously relied solely on regularity analysis.

Professor Jeon Sang-hoon expressed hope that the publicly released dataset will serve as a valuable common asset for automotive cybersecurity research and talent development both domestically and internationally. The research was supported by the COSS (Convergence of Science and Technology) program for future automobiles, led by Kookmin University's Future Automotive Business Group, which annually hosts the AutoHack competition to provide practical training environments for university students.

We expect the released dataset to be utilized as a common asset for domestic and international automotive cybersecurity research and talent cultivation.

— Jeon Sang-hoonProfessor Jeon Sang-hoon of Kookmin University expressed his hopes for the broader impact of the AutoHack dataset.
DistantNews Editorial

Originally published by Hankyoreh in Korean. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.

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