IoT-23: A labeled dataset with malicious and benign IoT network traffic

IoT-23 is a dataset of network traffic from Internet of Things (IoT) devices. It has 20 malware captures executed in IoT devices, and 3 captures for benign IoT devices traffic. It was first published in January 2020, with captures ranging from 2018 to 2019. These IoT network traffic was captured in the Stratosphere Laboratory, AIC group, FEL, CTU University, Czech Republic. Its goal is to offer a large dataset of real and labeled IoT malware infections and IoT benign traffic for researchers to develop machine learning algorithms. This dataset and its research was funded by Avast Software. The malware was allow to connect to the Internet.

IoT-23是一款面向物联网（Internet of Things, IoT）设备的网络流量数据集。该数据集包含20例在物联网设备上执行的恶意软件捕获样本，以及3例良性物联网设备网络流量捕获样本。该数据集于2020年1月首次发布，所采集的流量数据时间跨度为2018年至2019年。所有物联网网络流量样本均由捷克共和国CTU大学FEL学院AIC团队的Stratosphere实验室完成采集。本数据集的研发目标是为研究人员提供大规模的带标注真实物联网恶意软件感染样本与良性物联网流量数据集，用于开发机器学习算法。本数据集及相关研究由Avast Software资助。实验过程中允许该恶意软件连接至互联网。