UQ-IoT-IDS2021

UQ-IOT-IDS-2021 dataset contains benign traffic of IoT devices, including smartphones, smart TV, IP cameras, smart speakers, Raspberry Pis, etc., and malicious traffic from 9 types of cyberattacks, including Host Discovery, Port Scanning, Service Detection, ARP Spoofing, Telnet Brute-force, SYN Flooding, UDP Flooding, HTTP Flooding, and ACK Flooding. The raw data was captured with WireShark in a realistic network environment in the School of Information Technology and Electrical Engineering at the University of Queensland. The raw data was processed by the feature extractor in Kitsune(Mirsky et al., 2018) to extract 100 temporal-statistical features. The raw data is saved in pcap files. The total size of the dataset is 70.8 GB. The total number of records is 41404983. The dataset consists of Benign Samples and Attack Samples. Benign Samples contains 7 files with only normal traffic that mimic IoT devices' normal daily activities for a whole week (5 weekday samples, 1 Saturday sample, and 1 Sunday sample). Attack Samples were captured separately for each device type under each attack type.