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恶意软件时捕获的流量样本，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，其捕获数据的时间范围为2018年至2019年。上述物联网网络流量由捷克共和国捷克理工大学（CTU University）电气工程学院（FEL）AIC小组的Stratosphere实验室完成采集。本数据集的核心目标是为研究人员提供大规模、带标注的真实物联网恶意软件感染流量与良性物联网流量数据集，以支持机器学习算法的开发工作。本数据集及相关研究由Avast Software资助，实验过程中允许恶意软件连接至互联网。