Korea Univ.-Kookmin Univ. joint research team wins top vehicle security award

A joint research team from Korea University's Hacking and Countermeasure Research Lab (HCRL) and Kookmin University's Mobility Cybersecurity Lab won the Best Artifact Award at USENIX VehicleSec 2026 in Baltimore, Maryland, for developing the AutoHack Dataset, a vehicle cybersecurity dataset collected during real road driving to help AI-based security systems detect cyberattacks on in-vehicle networks.

A research team jointly led by Korea University’s Hacking and Countermeasure Research Lab HCRL and Kookmin University’s Mobility Cybersecurity Lab has received the Best Artifact Award at USENIX VehicleSec 2026, the universities said Wednesday. The two-day international symposium, regarded as a leading academic forum for vehicle cybersecurity, was held in Baltimore, Maryland, earlier this week. The recognition comes as automakers increasingly adopt advanced and connected technologies, raising concerns over vehicle hacking and increasing demand for artificial intelligence AI -powered systems capable of detecting cyberattacks targeting in-vehicle networks. The team was recognized for developing the AutoHack Dataset, a vehicle cybersecurity dataset collected from cars during actual road driving. The dataset is designed to help AI-based security systems distinguish between normal vehicle activity and malicious attacks. The findings were detailed in a paper titled “AutoHack: A Physically Verified Multi-Bus CAN Dataset for Intrusion Detection System Evaluation.” The paper received all