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 processing of this dataset involves the following steps. First, create a list of file paths that includes the paths of 10 binary files. Then, traverse the files one by one, check if each file exis
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