Serial Number: 82
Year: 2020
Kind of Traffic: Simulated
Publicly Available: Yes
Count of Records: 1.66GB
Features Count:
No. of citations: 55
Attack Type: scan, brute-force, MQTT brute-force, etc
Download Links: https://ieee-dataport.org/open-access/mqtt-iot-ids2020-mqtt-internet-things-intrusion-detection-dataset
Abstract: This dataset pioneers the simulation of an MQTT-based network, offering a comprehensive exploration of network behaviors and associated attacks. Generated through a simulated MQTT network architecture, the dataset comprises an attacker, a broker, twelve sensors, and a simulated camera. It records five scenarios: aggressive scan, normal operation, UDP scan, MQTT brute-force attack, and Sparta SSH brute-force. Three levels of abstracted features are extracted from the raw pcap files: packet characteristics, one-way flow attributes, and two-way flow attributes. The dataset includes csv feature files tailored for Machine Learning (ML) applications, facilitating predictive analysis.