ROAD CAN Intrusion Dataset是由橡树岭国家实验室创建的综合性汽车CAN网络入侵检测数据集,包含超过3.5小时的真实车辆CAN数据。该数据集记录了在多种驾驶活动中的环境数据,并包含了从容易到难以检测的多种攻击,如模糊攻击、制造攻击、独特的先进攻击和模拟伪装攻击。数据集旨在为CAN网络入侵检测方法提供合适的基准测试和必要的可比性,同时也提供了信号时间序列格式,以支持需要信号转换
The Automotive Cybersecurity report features an extensive regional analysis, identifying market penetration levels across major geographic areas. It highlights regional growth trends and opportunities
This is the dataset provided and collected while Car Hacking: Attack amp; Defense Challenge in 2020. We are the main organizer of the competition along with Culture Makers and Korea Internet amp; Secu