Thi-Thu-Huong/resampled_IDS_datasets

我们提供了基于BorderlineSMOTE方法的重采样数据集，这些数据集来源于部分公开的Car_Hacking_Challenge_Dataset和IoT Network Intrusion Dataset (IoTID20)。在Car_Hacking_Challenge_Dataset中，我们将输出类别标记为Flooding为0，Fuzzing为1，Normal为2，Replay为3，Spoofing为4。在IoTID20数据集中，我们将输出类别标记为DoS-Synflooding为0，MITM ARP Spoofing为1，Mirai ARP Spoofing为2，Mirai-Hostbruteforceg为3，Mirai HTTP Flooding为4，Mirai UDP Flooding为5，Scan Host Port为6，Scan Port OS为7，Normal为8。

We provide resampled datasets based on the BorderlineSMOTE method from a part of the public Car_Hacking_Challenge_Dataset and IoT Network Intrusion Dataset (IoTID20). In the Car_Hacking_Challenge_Dataset, we labeled output classes as Flooding as 0, Fuzzing as 1, Normal as 2, Replay as 3, Spoofing as 4. In the IoTID20 dataset, we labeled output classes as DoS-Synflooding as 0, MITM ARP Spoofing as 1, Mirai ARP Spoofing as 2, Mirai-Hostbruteforceg as 3, Mirai HTTP Flooding as 4, Mirai UDP Flooding as 5, Scan Host Port as 6, Scan Port OS as 7, Normal as 8.