IoT Network Intrusion Dataset

The exponential growth of the Internet of Things (IoT) devices provides a large attack surface for intruders to launch more destructive cyber-attacks. The intruder aimed to exhaust the target IoT network resources with malicious activity. New techniques and detection algorithms required a well-designed dataset for IoT networks. We proposed a new dataset, namely IoTID20, generated dataset from [1]. The new IoT botnet dataset has a more comprehensive network and flow-based features. The flow-based feature can be used to analyze and evaluate a flow-based intrusion detection system. Our proposed IoT botnet dataset will provide a reference point to identify anomalous activity across the IoT networks. The IoT Botnet dataset can be accessed from [2]. The new IoTID20 dataset will provide a foundation for the development of new intrusion detection techniques in IoT networks.<br>