Researchers from Beihang University and Hunan University have developed a new dataset to help strengthen cybersecurity for autonomous cars. Cyber threat intelligence (CTI) relies on large datasets, but the automotive industry lacks specialized cybersecurity data. To fill this gap, the researchers created a dataset with approximately 900 real automotive cybersecurity reports, 8,200 security entities, and 4,900 semantic relationships. This resource improves CTI modeling, making it easier to identify threats and protect autonomous vehicles from cyberattacks.
Image Credits: Randy Tarampi
