ToN_IoT

该数据集名为TON_IoT，包含了来自不同物联网（IoT）和工业物联网（IIoT）传感器的网络流量数据，以及从运行相应操作系统的主机中收集的Linux和Windows系统追踪数据集。其中，该数据集还从Windows 10系统中收集了桌面活动、进程、处理器、内存和网络活动的信息。值得注意的是，尽管该数据集已经进行了标记，但在框架的前两个阶段，将不使用这些标签信息。该数据集具有124个特征和7种攻击类型，其任务是进行网络入侵检测中的异常检测。

The dataset named TON_IoT includes network traffic data collected from various Internet of Things (IoT) and Industrial Internet of Things (IIoT) sensors, as well as Linux and Windows system tracing datasets acquired from hosts running corresponding operating systems. Furthermore, this dataset also collects information related to desktop activities, processes, central processing units (CPUs), memory and network activities from Windows 10 systems. Notably, although the dataset has been fully labeled, these labels will not be used in the first two stages of the framework. This dataset has 124 features and covers 7 types of attacks, with its designated task being anomaly detection in the context of network intrusion detection.